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ORCIDICIMMI 2023: Jaipur, India
- Dinesh Goyal, Anil Kumar, Dharm Singh, Marcin Paprzycki, Pooja Jain, B. B. Gupta, Uday Pratap Singh:
Proceedings of the 5th International Conference on Information Management & Machine Intelligence, Jaipur, India, November 23-25, 2023. ACM 2023 - Shivangi Khandelwal
, Surendra Kumar Yadav:
A Noval Approach for Traffic Congestion Using Bayesian Classifier. 1:1-1:7 - Ansh Harjai, Akshat Charan, Sunita Singhal:
Sentiment Analysis of Medications Review Using DeepLearning Algorithms. 2:1-2:5 - Devdarshan G, Bindhia Joji:
Using Time series analysis, analyze the impact of the wholesale price index on the price escalation in the automotive industry. 3:1-3:5 - Yogesh Kumar Joshi, Nirupma Tiwari:
A Comprehensive Survey on Malware Detection Techniques. 4:1-4:6 - Shikha Sharma, Vijay Prakash Sharma, Sandeep Gupta:
VoiceSelective Sound Processing: A Design for Singular Audio Extraction. 5:1-5:4 - Mona Adlakha, Sameena Naaz, Sherin Zafar, M. Afshar Alam:
Deep Learning Approach for Accurate Prediction of diabetes. 6:1-6:6 - Sankareswari K, Sujatha G:
Evaluation of an Ensemble Technique for Prediction of Crop Yield. 7:1-7:9 - Charanjeet Gaba, Sonam Khattar, Sheenam Middha:
An Empirical Study of Machine Learning Methods for Analyzing Cardiovascular Disease. 8:1-8:7 - Amit Kumar Gupta, Priya Mathur, Sandeep Chaurasia:
Predicting Thermal Conductivity in Nanofluids: A Comprehensive Study Using Artificial Neural Networks with Hyperparameter Tuning. 9:1-9:6 - Mansi Sharma, Amit Kumar Gupta:
A Comprehensive Review of Artificial Intelligence Applications in the Fight against COVID19. 10:1-10:8 - Mansurali Anifa, Muruganandham Rajagopal, Krishnan Hariharan, Edwin T. S, Mohammad Mansoor Ahmed Pillai:
Fuzzy Logic Decision Making Approach to identify the maximum influencing factor on productivity. 11:1-11:5 - Mansurali Anifa, Muruganandham Rajagopal, Edwin T. S, Renuka Devi, Krishnan Hariharan:
Shop Floor Analysis Using R for Decision Making To Enhance Productivity and Improve Quality. 12:1-12:7 - Dharshani J, Suresh Annamalai:
Cloud based Effective Environmental Monitoring of Temperature, Humidity and Air Quality using IoT Sensors. 13:1-13:6 - Helen Josephine V. L, Dhivya Rajan, Justin Joy:
Forecasting a FastMoving Consumer Goods (FMCG) Company's Customer Repurchase Behavior via Classification Machine Learning Models. 14:1-14:5 - Shweta Sinha, Tushar Agarwal, Pratiyush Pandey:
Artificial intelligence in healthcare: medical named entity recognition based audio prescription generator. 15:1-15:5 - Divya Gupta, Jaspreet Kaur, Simarjeet Kaur:
Transforming Healthcare through Machine Learning: A Revolution in Patient Care. 16:1-16:4 - Vidya M, Mansurali Anifa:
Qualitative Analysis on Machine Learning Through Biblioshiny. 17:1-17:5 - Shubham Vyas, Rajesh Kumar Tyagi, Shashank Sahu:
Fault Tolerance and Error Handling Techniques in Apache Kafka. 18:1-18:5 - Harish Venkatasubramanian, Mansurali Anifa:
Optimizing Supply Chain Operations with Machine Learning: A Path to Efficient Business Decision Making. 19:1-19:5 - Pravek Sharma, Sameer Arora:
The AllSeeing Eye for Constructive Weapon Detection Using YOLOv8 Object Detection Model. 20:1-20:5 - Divya Gupta, Ankit Bansal, Jaspreet Kaur, Sanchit Wadehra:
Artificial Intelligence empowered content caching for energy optimization in vehicular networks. 21:1-21:4 - Sreerengan V. R. Nair, Anil B. Gowda, Saibal Kumar Saha, Manikandan Rajagopal, Ajeya K. Jha:
Restructuring of Layout Designs and Operational Processes in Production Lines of Manufacturing Companies Globally to Compete Post Pandemic Conditions. 22:1-22:11 - Viji Gripsy. J, Kowsalya R, Banupriya C. V, Sathya R:
Secured Data Transmission Using Pareto Optimization Based Lion Swarm Optimization and Double Encryption based Blowfish Algorithm in WSN. 23:1-23:6 - Jaganathan Logeshwaran, Saurabh Singhal, Amit Garg:
MultiResolution 3D Magnetic Resonance Imaging Analysis for Prostate Cancer Imaging. 24:1-24:6 - Jaganathan Logeshwaran, S. Dhanasekaran, Praveen Kantha, Amit Garg:
Exploring InterferenceAware Spectrum Allocation in 6G Cellular Networks using dynamic resource Sharing Algorithm. 25:1-25:7 - Malini Mittal Bishnoi, Swamynathan Ramakrishnan, Vanathi Ramaswamy, Dhanushiga K. M, Mansurali Anifa:
Proposition Development on Incidents of Unethical usage of AI in education sector. 26:1-26:8 - Rahul Ravindra Pitale, Kapil Dinkarrao Tajane, Prathamesh Bhagwat Mahajan, Nishita Sharad Nehate, Apeksha Jagdish Mulimani, Devarsh Sandeep Lokhande:
Cryptographic algorithm development and application for encryption and decryption. 27:1-27:7 - Jitesh Kumar Meena, Rohitash Kumar Banyal:
Overview of Advanced Deep Learning based Models for Stock Market Price Predictions. 28:1-28:9 - Shyamal Mundada, Pooja Jain:
An Approach for Soil Fertility Assessment Using Geospatial Data and Environmental Covariates. 29:1-29:4 - Payal Bansal, Devendra Kumar Somwanshi, Nitesh Mudgal, Durgesh Kumar:
Challenges and Opportunities in Modeling Dronebased Surveillance for Open Border Security in Vulnerable Gaps and Areas: A Review. 30:1-30:7 - Humra Khan, Pawan Singh:
Heart Disease Analysis and Prediction Using EDA and ML Classifiers. 31:1-31:6 - Anjali Singh:
Fraud Detection in Ecommerce Transactions: An Ensemble Learning Approach. 32:1-32:6 - Koushik Chakraborty, Sweety Singhal, Nancy Arya, Mohit Tiwari, Aasiya Khatoon, Ashish Tiwari:
Multilevel Cloud resource Scheduling approach based on imagebased signature system. 33:1-33:7 - Ravi Kumar Tata, Koushik Chakraborty, Rashima Mahajan, Deepak Dudeja, R. Ramkumar, Upasana Gupta:
Detection of Anomaly Detection with high dimensional data using volume and velocity aspects. 34:1-34:6 - C. T. Dora Pravina, Nancy Arya, Sunil Sharma, Koushik Chakraborty, Shanu Kuttan Rakesh, Arvind Kunar Singh:
Image Based Security System in cloud resource Scheduling. 35:1-35:6 - Saranya V. S., Kanagajothi D. Kanagajothi, S. Rajina Begam, Sunil Sharma, Nilesh Dubey, Sumaiya Rehan:
A machine learningbased framework to Classify Xrays anomality. 36:1-36:7 - Madhav Sharma:
CNNGRU Model for Handwritten Character Recognition and Evaluating its Performance on the Char74k Dataset. 37:1-37:7 - Divya Gupta, Sanchit Wadehra, Jaspreet Kaur, Sai Viswanath Sharma:
Unmasking Compliance: Leveraging Machine Learning for RealTimeFace Mask Detection and Public Safety. 38:1-38:4 - Anju Kalwar, Deepika Shekhawat, Sunita Singhal, Jitender Singh Shekhawat:
An Extended Approach of Agile Model towards Agile Requirement Quality Inspector. 39:1-39:5 - Renuka Paramasivam, Booba Rajashekar:
Cardio Disease Prediction using Deep Spectral Logistic Decision Neural Network. 40:1-40:4 - Jitendra Kumar Chaudhary, S. Balakrishnan, Dhiraj Kapila, Dler Salih Hasan, Mohammad Shafeeq, Sunil Kumar Vishwakarma:
A Novel credit card fraud detection feature selection system using machine learning. 41:1-41:5 - Satyajee Srivastava, Kommisetti Murthy Raju, Deepak Dudeja, Gagandeep Berar, Nazeer Shaik, Abhishek Yadav:
An investigation of Malware Detection System using Deep Learning on computing Systems. 42:1-42:7 - Sriti Jha, Vaibhav Sangwan, Sanket Balani, Preeti Nagrath, Dharmender Saini:
Optimizing CPU Resources: A Deep Learning Approach for Usage Forecasting in Cloud Environments. 43:1-43:8 - Chitra P, Naganandhini S, Ramkumar R, Merin Stepha J, Jessy K, Hemalatha S:
Alzheimer's disease Development and Classification using MRI. 44:1-44:9 - Karan Pandita, Purab Kulranjan Singh Thakur, Suresh Annamalai:
Contextual transcription and Summarization of audio using AI. 45:1-45:9 - Rushishwar Reddy Manthena, Sahithi Krishna Pavuluri, Suresh Annamalai:
Unified Voyage: Enhancing collaborative group travel planning and coordination. 46:1-46:8 - Devjyoti Mohanty, Vaibhav Jain, Nithya Paranthaman R:
Underwater Photography Noise Cancellation. 47:1-47:6 - Talluri Upender, Bechoo Lal, Regonda Nagaraju:
Transfer Learning Method for Handling The Intrusion Detection System with Zero Attacks Using Machine Learning and Deep Learning. 48:1-48:11 - Priyansh Jaiswal, Kaustubh Nandlal Mowade, V. Anbarasu:
Enhancing Movie Recommendations through MultiModal Analysis and Contextual Dynamics. 49:1-49:10 - Shivam Tiwari, Aarhee Phukan, T. R. Vedhavathy:
Image Processing using Cloud for Surveillance. 50:1-50:5 - Garima Srivastava, Sachin Kumar, Kunal Yadav:
Virtual Surveillance Assistant: Converging Computer Vision, NLP, and Chatbot Technologies via Azure Cognitive Services. 51:1-51:4 - Suniti Chouhan, Gajanand Sharma:
Algorithmic Concept for Enhanced Blockchain Based Election. 52:1-52:5 - Ashi Maheshwari, Reema Ajmera, Dinesh Kumar Dharamdasani:
A Comprehensive Guide to Natural Language Processing in Sanskrit with Named Entity Recognition. 53:1-53:9 - Dharmi Kapadiya, Chezal Shekhawat, Priyanka Sharma:
A Study on Largescale Applications of Big Data in Modern Era. 54:1-54:6 - Vani Kumar, Vanshaj Bhardwaj, V. Anbarasu:
Credit Card Fraud Detector for Lower Ranged Transactions using AI Algorithms. 55:1-55:5 - Sumathy G, Suresh Annamalai, Udendhran R, Maheshwari A, Arun Prasath Selvaraj:
Quantum Teleportation and EntanglementBased Quantum Blind Signature Protocol for Quantum Secure Communication in Security Service Bases. 56:1-56:10 - Rinki Singh, Deepika Kukreja:
Blockchain for IoT Security & Privacy: Applications, Challenges and Future Directions. 57:1-57:5 - Ravi Kumar Gupta, Sachin Kumar, Pooja Khanna, Pragya:
Integrated Framework for Identification of Suspicious Activity for Remote Sensing Applications. 58:1-58:4 - Yashika Goyal, Raj, Hari Mohan Rai, Manas Aggarwal, Krishna Saxena, Saule Amanzholova:
Revolutionizing Skin Cancer Detection: A Comprehensive Review of Deep Learning Methods. 59:1-59:6 - Vijay Prakash Sharma, Sunil Kumar:
From Deep Features to Swarm Intelligence: A Novel Methodology for Kinship Verification. 60:1-60:4 - Madhu Rani M, Buvana R, Harini S, Janaki M:
A Blockchain Framework for Secure Storage of Research Data. 61:1-61:4 - Anupreet Singh, Deepak Arora:
Transfer Learning Induced Communication Enhancement for People with varied Disabilities. 62:1-62:4 - Amogh Gupta, Shivani Trivedi:
Blockchain based NFT marketplace to embrace pets. 63:1-63:5 - Tapasya Choudhary, Vanshika Aggarwal, Prasuk Jain, Shivani Trivedi:
A MultiCriteria Approach in ECommerce Product Ranking. 64:1-64:6 - Anukrati Agarwal, Ayuska Singh, Srijan Singh, Shivani Trivedi:
Analysing Personality Types and Traits of Thread Users by Machine Learning. 65:1-65:7 - Piyush Pal, Shashank Mishra, Mudit Pratap Singh, Shivani Trivedi:
Simulating Natural Selection with Deep Learning and Genetic Algorithm. 66:1-66:6 - Shibi Mathai, K. S. Thirunavukkarasu:
DataDriven Approaches for Early Detection and Prediction of Chronic Kidney Disease Using Machine Learning. 67:1-67:10 - Janmejay Singh, Bramah Hazela, Pallavi Asthana, Shikha Singh, Anil Kumar Tiwari:
Recipe Recommender System Using BERTopic Modelling Technique. 68:1-68:9 - Kavita Arun Kathane, Viren Kumar Sharma:
Leverging graphbased Analysis and Deep learning for Dynamic cloud forensic profiling operations. 69:1-69:14 - Gangavarapu Rajesh Babu, Virendra Kumar Sharma:
RTIFQLD: An Integrated Framework for RealTime IoT Forensic Analysis via Incremental QLearning Modelled with Resource Aware DQN Operations. 70:1-70:12 - Jiwan N. Dehankar, Virendra Kumar Sharma:
SPBVPST : Towards Scalable and Private Blockchain Architectures by Integrating Verifiable Computation, Privacy-Preserving Sharding, and Trusted Execution Environments. 71:1-71:8 - Anshika Rawat, Shubham Singh, Pawan Singh:
Cloud Resource Management: Monitoring. 72:1-72:4 - Megha Sharma:
Classification of health care text using NLP and ML. 73:1-73:7 - Gaurav Bajpai, Pawan Singh, Abhay Kumar Agarwal:
A Comprehensive Review on Autonomous Consolidation of Virtual Machine for Energy and Resource Management. 74:1-74:7 - Anurag Anand Duvey, Pankaj Rahi, N. S. Gowri Ganesh, Santi Swarup Basa:
Smart framework for enhancing security of IoT linked devices in Healthcare Systems. 75:1-75:8 - Lomesh Kautik Ahire:
Sarcasm Prediction Using Different Learning Approaches on User Behavior and Contextual Evaluation. 76:1-76:6 - Baskar M, Ankit Kumar, Khushi Bajaj:
Instant Ambulance Connection Rescue Radar. 77:1-77:7 - Sayali Renuse, Parikshit N. Mahalle, Gitanjali Rahul Shinde, Nilesh P. Sable:
A Comparative Study of Access Control Models for Ubiquitous Computing Systems. 78:1-78:6 - Rahul Ahlawat, Sachin Adlakha, Medhavi Malik, Nishtha Jatana:
Action and Gesture Recognition using Deep Learning and Computer Vision for Deaf and Dumb People. 79:1-79:8 - Rishi Agrawal, Neeraj Gupta, Anand Singh Jalal:
AI Enabled Label Distribution Aware Margin Loss function for skin cancer Detection. 80:1-80:5 - Laxmikant Vashishtha, Uday Pratap Singh, Vivek Saxena, Shubham Patel:
Optimizing Wireless AdHoc Networks: A Holistic Approach for Sustainable Energy Efficiency. 81:1-81:4 - Tejbir Singh, Ravi Kumar Sharma, Dalip Kamboj, Parul Gandhi, Divyanshi Bhatia:
Using SVM Classification and Reverse Engineering to Generate Trustworthy Code in Software Development. 82:1-82:7 - Swati Rawat, Sumit Mittal, Deepa Nehra, Chandani Sharma, Dalip Kamboj:
Exploring the Potential of ChatGPT to improve experiential learning in Education. 83:1-83:8 - N. Sujatha, Latha Narayanan Valliammal, Joice Rathinam E, Lokesh V. S, Mukul Mech:
A Case Study of AIOPs in Large Enterprises Using Predictive Analytics for IT Operations. 84:1-84:5 - Sulakshana Sagar Malwade, Shilpa Jeevan Budhavale:
Exploring Explainable AI: Current Trends, Challenges, Techniques and its Applications. 85:1-85:9 - Pradnya Balasaheb Borse, Sudhir Meesala Kumar:
A Survey of Swarm Intelligence Based Clustering Models for Anomaly Detection in Network Traffic. 86:1-86:10 - Aiswarya U, Binthu Mathavan S:
Artificial Intelligence in Sports Performance Evaluation of Team Games. 87:1-87:5 - Vishal Singh Manhas, Prince Sahani, Shankar Venkatrao Upase, Rashmi Ashtagi:
RealTime Drowsiness Detection System using Facial Landmarks and Eye Blink Analysis. 88:1-88:9 - Shital Shankar Gujar, Ali Yawar Reha:
Exploring Relatonship between music and mood through machine learning technique. 89:1-89:6 - Suchit Anandrao Sapate, Ganesh Rajaram Pathak, Omprakash Tembhurne:
Performance Evaluation of Data Migration Tools: A Comparative Study Based on Data Type, Size and Network Bandwidth. 90:1-90:6 - Rani Suresh Mohadikar, Chetan Ashokrao Dhule:
Advancement In Melanoma Detection: A Comprehensive Review On Deep Learning Based Classification Approaches. 91:1-91:14 - Harshvardhan Sanjay Kendre, Rashmi Ashtagi, Mandar Karmarkar, Neha Mangesh Kamtalwar, Harsh Anil Karadbhajane:
Music Mood Prediction and Playlist Recommendation based on Facial Expressions. 92:1-92:6 - Gaurav Nagpal, Ankita Nagpal, Naga Vamsi Krishna Jasti, Sarveshwar Kumar Inani:
Use of Neural Networks for Ore and Waste classification of mining deposits based on geophysical data. 93:1-93:5 - Budesh Kanwer, Udit Mamodiya:
Development of an IoTbased Intelligent Energy Management System with Motion Notification on Telegram in a Smart Home. 94:1-94:5 - Saurabh Bhattacharya, Manju Pandey:
Smart Agriculture for Sustainable Growth: Realtime Assessment of Macronutrient Analysis using IoT Sensors and Parallel Hybrid CNN_LSTM for Crop and Fertilizer Optimization. 95:1-95:7 - Shairal Verma, Prem Kumari Verma, Nagendra Pratap Singh:
Analysis on Machine Learning Strategies for Carcinoma Detection Biomarker. 96:1-96:7 - Aakarsh Sharma, Shweta Sinha:
Statistical Exploration and Sentiment Analysis of WhatsApp Chats using Supervised Learning. 97:1-97:6 - Indra Kishor, Akshay Sharma, Gargi Singh Tanwar, Udit Mamodiya:
A Smart BiDirectional Visitor Counter System Designed for Single Door Entry & Exit Setups with Dynamic Tracking and Data Regression Analysis based on IoTML. 98:1-98:8 - Atul Srivastava, Harshita Rana, Prashant Dixit, Reecha Singh:
Early diagnosis of Parkinson disease using Machine Learning Techniques. 99:1-99:8 - Dharmesh Dhabliya, Monali Ravindra Borade, Nuzhat Fatima Rizvi, Anishkumar Dhablia, Vilas D. Ghonge, Satyajit Dnyandev Sirsat:
Utilizing Data Mining Techniques to Develop Accurate Predictive Models for Cardiovascular Disease Risk Assessment and Early Detection. 100:1-100:6 - Priyanka More, Dharmesh Dhabliya, Jambi Ratna Raja Kumar, Supriya Arvind Bhosale, Aarti S. Gaikwad, Sonu V. Khapekar:
Utilizing Machine Learning Approaches for Anomaly Detection in Industrial Control Systems. 101:1-101:7 - Sukhvinder Singh Dari, Shweta Tiwaskar, Jambi Ratna Raja Kumar, Vaishali Langote, Gopal Madhukar Mohadikar, Rashmi Ashtagi:
Enhancing Plant Leaf Disease Identification with a CNN and DenseNet Hybrid Model. 102:1-102:6 - Saurabh Raj, Nitin N. Sakhare, Yogesh Sharma, Monika Soni, Anup Bhange, Pradeep Kundlik Deshmukh:
Deep LearningBased Emotion Detection from EEG Signals for HumanMachineInteraction. 103:1-103:6 - Kalaiselvi Balaraman, Angelin Claret S. P:
Cardiac Signal Monitoring System using NonContact Measurement for Physiological Features. 104:1-104:6 - Mandar Diwakar, Shilpa Sharma, Ritika Dhabliya, Reshma Sonar, Shrinivas T. Shirkande, Saurabh Bhattacharya:
AIdriven Strategy for Predicting Equipment Failure in Manufacturing. 105:1-105:5 - Rahul Sharma, Dattatraya Babanrao Nalawade, Pushpa Negi, Ritika Dhabliya, Saurabh Bhattacharya, Vinit Khetani:
AIpowered Automation of Fraud Detection in Financial Services. 106:1-106:5 - Pushpa Negi, Anishkumar Dhablia, Hrishikesh Bhanudas Vanjari, Jayashree Tamkhade, Sharayu Ikhar, Shrinivas T. Shirkande:
Evaluating Feature Selection Methods to Enhance Diabetes Prediction with Random Forest. 107:1-107:7 - Disha Sushant Wankhede, Nuvita Kalra, Ritika Dhabliya, Vinit Khetani, Tushar Waykole, Aparna S. Shirkande:
Enhancing Alzheimer's Disease Prediction with Bayesian Optimization and Ensemble Methods. 108:1-108:6 - Rupali A. Mahajan, Sukhvinder Singh Dari, Ritika Dhabliya, Gabriela Michael, Anil Kumar, Nidhi Ranjan:
Enhancing IoT Network Security through AIDriven Intrusion Detection with Hybrid AutoencoderGAN Fusion. 109:1-109:5 - Shanthi Kunchi, Vijaya N. Aher, Sharayu Ikhar, Kishor Pathak, Yatin Gandhi, Kirti Wanjale:
Risk Factor Prediction for Heart Disease Using Decision Trees. 110:1-110:6 - Surabhi Saxena, Nikhat Parveen, Devendra Agarwal:
Medical Image Analysis Using Deep Learning Technnique. 111:1-111:8 - Shruti Thapar, Sachin Sharma, Vivek Saxena, Uday Pratap Singh:
The future impact of smart vehicles using data science. 112:1-112:4 - Bhawana Kumari, Vandana Birle, Shruti Lashkari, Uday Pratap Singh:
"A gRPCbased Chat Application with AI Integration". 113:1-113:5 - Abhishek Dadhich, Bright Keswani, Dinesh Goyal:
Structured Literature Review on Access Controls Mechanism in Block Chain Consensus Algorithm: State of Art and Future Direction. 114:1-114:8 - Bersha Kumari, Amita Nandal, Arvind Dhaka:
Machine Learning Application in Breast Cancer Detection and Diagnosis: A Comprehensive Review. 115:1-115:4 - Udit Mamodiya, Indra Kishor:
A Comparative Study on the Performance of DualAxis Solar Tracking Systems and Fixed Solar Arrays. 116:1-116:4 - Anmol Chaturvedi:
Harnessing Machine Learning and Deep Learning for Improved Epileptic Seizure Detection: A Review. 117:1-117:9 - Ravinder Singh Maan, Alok Kumar Singh, Ashish Raj:
Enhanced PSO Techniques for MPPT in Partially Shaded PV Systems: A Mathematical Exploration & Performance Assessment. 118:1-118:8 - Rashmi Gupta, Tushar Agarwal, Aviral Mehlawat, Deeksha Mathur, Devendra Kumar Somwanshi, Anil Kumar:
SMER: A Novel Medical Entity Recognition Technique based on ScispaCy(BC5CDR) and Med7. 119:1-119:6 - Rohit Aggarwal, Rashmi Gupta, Charu Jain, Anil Kumar:
Detection and Classification of Chest Diseases using Machine Learning Algorithm. 120:1-120:8 - Neeraj Gupta, Lalit Rai, Devendra Kumar Somwanshi, Prashant Kumar, Rashmi Gupta, Anil Kumar:
Fuzzy Control and Simulink Model of Boiler Water Level. 121:1-121:5 - Nilesh Dubey, Hardik Jayswal, Atul Patel, Dinesh Goyal:
State of the Art Review: Revolution in Farming with Assistance from Smart Internet of Things Based System. 122:1-122:5 - Mohit Suthar, Sunil Sharma, Sarvesh Kumar:
Current status and future directions for crowd management using machine learning. 123:1-123:5 - Inderjeet Singh Sethi, Manish Shrivastava, Dinesh Goyal:
Implementation of cloud computing towards Secure Online Auction for sustainable future of business. 124:1-124:6 - Neha Batra, Sachin Lakra:
Impact of Music Signals on the Human Mind and Body: Need of Natural/Green Music Signals. 125:1-125:5 - Lalit Singh, Kavita Ajay Joshi, Ravindra Singh Koranga, Satish Chandra Pant, Priya Mathur:
Artificial Intelligence in the Legal Profession: A review on its Transformative Potential and Ethical Challenges. 126:1-126:8 - Shruti Mathur, Akhilesh Kumar Sharma, Anju Yadav:
Analysis Of Diagnostic Value of cervical Cancer Disease Through Artificial Intelligence Based System. 127:1-127:3 - Uday Pratap Singh, Bersha Kumari, Vivek Saxena, Dinesh Goyal:
Enhancing the Security of Big Data based on the New AI & its Techniques. 128:1-128:6 - Pulla Sujarani, M. Yogeshwari, K. Kalaiselvi:
Early Identification of Cancer Blood Disorder Using Deep Convolutional Neural Networks. 129:1-129:4 - Barkha Narang, Harshita Virwani, Nikita Jain:
Comprehensive Review on the Synergies and Challenges of Quantum Computing, Cloud Computing, and Fog Computing in New Era. 130:1-130:13 - Uday Pratap Singh, Bersha Kumari, Dinesh Goyal, Mohd Afrid:
Exploring Novel Machine Learning Approaches for Cheat Detection in Competitive Gaming. 131:1-131:6 - Vivek Saxena, Uday Pratap Singh, Bersha Kumari, Ansh Khandelwal:
Machine Learning Algorithms for Advanced Rainfall Prediction. 132:1-132:5 - Priya Mathur, Rekha Rani Agarwal, Amit Kumar Gupta:
Integrating Traditional Analyses and Machine Learningfor Holistic Assessment of Groundwater Quality in theSirohi Region: A Case Study on Physico-ChemicalParameters and Predictive Models. 133:1-133:6 - Kavita Ajay Joshi, Priya Mathur, Ravindra Koranga, Lalit Singh:
Addressing Delayed Justice in the Indian Legal System through AI Integration. 134:1-134:7 - Priya Arora, Rashmi Gupta, Nidhi Malik, Anil Kumar:
Malware Analysis Types & Techniques : A Survey. 135:1-135:6 - Anjul Bhardwaj, Uday Pratap Singh:
An Empirical Study on: Time Series Forecasting of Amazon Stock Prices using Neural Networks LSTM and GAN models. 136:1-136:10 - Saurabh Raj, Uday Pratap Singh, Vivek Saxena:
Efficient Multiband Planar Monopole Antenna based on Metamaterial Transmission Line for Mobile Wireless Communication Systems. 137:1-137:5 - Ashwini Bari, Rajeev Yadav, Satish Kumar Alaria, Ashish Raj, Javed Khan Bhutto:
Analyzing the Performance of Improved Random Forest Based Amazon Product Review Sentiment Analysis. 138:1-138:9 - Anand Geet, Rajeev Yadav, Satish Kumar Alaria, Sunil Kumar Gupta, Javed Khan Bhutto:
Numerical Simulation and Design of Sentiment Analysis of Twitter Posts Using Hybrid Machine Learning Approach. 139:1-139:9 - Ashish Raj, Sunil Kumar Gupta, Abdulmjeed Ali Alshaya, Javed Khan Bhutto, Suhail Pasha Syed Basha:
A Novel GWO-CSA Based IOT Enabled Maximum Power Point Tracking System for Operational Efficiency Enhancement of Solar Photovoltaic Energy System. 140:1-140:15 - Ashish Raj, Sunil Kumar Gupta, Ahmad Jaber Mohammad Alfiafi, Javed Khan Bhutto:
Smart Charging for Electric Vehicles: A Meta-Heuristic Analysis. 141:1-141:12 - Mohamed Hasan Phudinawala, Swati Rajiv Bhatt, Noorusabah Sayed, Prashant Y. Itankar:
Advancing Nuclei Detection in Drug Discovery: A Hybrid CNN+LSTM Approach with Curved Gaussian Distribution. 142:1-142:6 - Vivek Saxena, Shiladitya Bhattacharjee, Deepika Saxena:
A Lightweight Security Technique for Processing Large Data Over a Distributed Cloud Environment. 143:1-143:5 - Balamanigandan R, Mahaveerakannan R, Pankaj Dadheech, Bhavani R, Dhanalakshmi R:
Optimized-ANN Approach for Enhanced Lung Cancer Diagnosis: A Machine Learning-Integrated Methodology. 144:1-144:6 - Indra Kishor, Dinesh Goyal, Kumari Khushboo, Khushi Gupta, Udit Mamodiya, Kritika Tiwari:
An Intelligent Farming Revolution System based on IoT, AI & Augmented Reality Drone Technology. 145:1-145:7 - Udit Mamodiya, Budesh Kanwer, Indra Kishor:
IoT-Enabled Dust Cleaning Mechanism for Enhanced Performance of Solar Panel Arrays. 146:1-146:5 - Ankit Agarwal, Saurabh Gupta, G. Swamy, G. Prasadu, Vandana Ahuja, Ajay Kumar Badhan, Udit Mamodiya:
Ensuring Cloud Tenant Data Security and OptimizingDDoS Detection Efficiency through Trust-Based Filtering. 147:1-147:6 - Harish Reddy Gantla, Sayed Sayeed Ahmad, Atheer A. Matroud, Satish Kumar Kalhotra, Indu Agarwal, Sandeep Gupta, Udit Mamodiya:
Machine Learning-Based Trust-Aware Secure TrafficMechanism to Identify DDOS Attacks over Cloud. 148:1-148:7 - Udit Mamodiya, Rakhi Mutha, Harish Reddy Gantla, Sunil Kr. Pandey, Sayed Sayeed Ahmad, Vandana Ahuja, Abhishek Bhattacherjee:
Enhancing Security in Cloud Registration with Multi Dimensional Features Fusion. 149:1-149:7 - Bersha Kumari, Amita Nandal, Arvind Dhaka:
Breast Cancer Detection using Machine Learning: A systematic Literature Exploration. 150:1-150:9 - Kwok Tai Chui:
A Lightweight Generative Adversarial Network for Imbalanced Malware Image Classification. 151:1-151:4 - Sameer Sinha, Sudhansu Shekhar Patra, Bibhuti Bhusan Dash, Manoj Ranjan Mishra, Suchismita Rout, Lalbihari Barik:
Performance Evaluation of Fog Centre with Balking, Reneging and Retention. 152:1-152:6 - Manya Girdhar, Sunil K. Singh, Sudhakar Kumar, Deepak Mahto, Sunil K. Sharma, Brij B. Gupta, Varsha Arya, Kwok Tai Chui:
Exploring Advanced Neural Networks For Cross-Corpus Fake News Detection. 153:1-153:6 - Shivam Goyal, Sunil K. Singh, Sudhakar Kumar, Saket Sarin, Brij B. Gupta, Varsha Arya, Kwok Tai Chui:
Hyperdimensional Consumer Pattern Analysis with Quantum Neural Architectures using Non-Hermitian Operators. 154:1-154:5 - Shashi Kant Tiwari, Shweta Sinha, Karamjit Kaur Sekhon, Ram Sewak Singh:
Diagnosis of Cardiac Diseases Using Ranked Parameters for Machine Learning. 155:1-155:6 - Ruthra E, A. Ruhan Bevi:
Ischemic Stroke Segmentation in FLAIR MRI using Modified U-Net Model. 156:1-156:4 - Vedika Srivastava, Hemant Kumar Singh:
A Comparative Study of Neural Style Transfer Models. 157:1-157:4 - Shashank Saroop:
Blockchain-Based Zero-Knowledge Proofs for Data Privacy: Explore the Application of Blockchain Technology in facilitating Privacy-Preserving Transactions through Zero-Knowledge Proofs and Analyze their Effectiveness in Protecting Sensitive Data. 158:1-158:8 - Pankaj Bhattarai, K. A. Varun Kumar, Balachander Th, Rashmi Od:
Detection of Pneumonia using Machine Learning. 159:1-159:11 - Kiran Deep Singh, G. L. Saini, Prabhdeep Singh:
Leveraging Transfer Learning for Improved Diagnostics in Dermatology. 160:1-160:5 - Sayan Majumder, Kommisetti Murthy Raju, Nancy Arya, Nazeer Shaik, Sanjay Tiwari, Akanksha Singh:
An overview Scientific Cloud computing Web-based cloud services issues and challenges. 161:1-161:7 - Anil Kumar, Raju Ranjan:
Intelligent Traffic Identification System Powered byConvolutional Neural Networks. 162:1-162:6 - Smita Rajesh Kapse, Latesh Gagan Malik:
Development of a Robust Attack-aware Consensus Model for Context-Aware Blockchains. 163:1-163:4 - Dhruv Abhijeet Sawant, Vijaykumar S. Jatti, Akshansh Mishra, Eyob Messele Sefene:
Prediction of Ultimate Tensile Strength of Additive Manufactured Specimens using Neurosymbolic based Machine Learning Algorithm. 164:1-164:5 - Swamynathan Ramakrishnan, Malini Mittal Bishnoi, Harish V, Jijitha S:
Proposition Development Study- Intervention of AI in the Education Sector of UAE. 165:1-165:7 - Yagya Nath Rimal, Navneet Sharma:
Ensemble Machine Learning Model Improves Prediction Accuracy for Academic Performance: A Comparative Study of Default ML VS Boosting Algorithm. 166:1-166:7 - Gowthami V, Stephen A, Pavithra M:
Diagnosis of Pregnant Women Review with Wireless Body Sensor Network. 167:1-167:5 - Shruti Maheshwari, Dhanraj Shivendrakumar Dubey, Vikas Gulia, Nitin Solke:
Comparative Analysis of Optimization Algorithms for Energy Consumption Minimization in HVAC Systems. 168:1-168:10 - Suman Lata Tripathi:
Design, synthesis and implementation of 8-bit accumulator using FPGA Board. 169:1-169:5 - Arokiaraj David, Ganeshkumar Chandirasekaran, Jeganathan Gomathi Sankar:
Blockchain and Artificial Intelligence in Food Industry - Case Analysis of Ripe.Io Firm. 170:1-170:6 - Prachi A Bainalwar, Shubhangi M. Borkar, Shubhangi S. Shambharkar, Pradnya S. Moon:
Intelligent System to Analysis of Plant Diseases using Machine Learning Techniques. 171:1-171:8 - Pradnya Sumit Moon, Shubhangi M. Borkar, Shubhangii S. Shambharkar:
Machine Learning approach for Diabetes Prediction using Pima Dataset. 172:1-172:9 - Jaganathan Logeshwaran, Thiyagarajan N, Manoj Kumar Mahto, Amit Garg:
Clinical Resource Management with AI/ML-Driven Automated Diagnostics in Smart Healthcare. 173:1-173:6 - Jaganathan Logeshwaran, Manoj Kumar Mahto, G. L. Saini, Deepak Panwar:
Evaluating Key Management Strategies for Applied Cryptography Protocols. 174:1-174:7 - Pooja Kumawat, Kamaladevi Baskaran:
Information Management in the Era of Digital Banking: A Descriptive Analysis of adoption and usage among Millennial and Gen Z. 175:1-175:5 - Khyati Jha, Mansi Pasbola, Hari Mohan Rai, Saule Amanzholova:
Utilizing Smartwatches and Deep Learning Models for Enhanced Avalanche Victim Identification, Localization, and Efficient Recovery Strategies: An In-depth Study. 176:1-176:5 - Ziaurrahman Azmi:
Arabic Language: Traditional vs AI-Enhanced Instruction. 177:1-177:4 - Mehroush Banday, Sherin Zafar, Parul Agarwal, M. Afshar Alam:
Diabetes Prediction Using Random Forest Classifier with Feature Augmentation. 178:1-178:7 - Geerija Lavania, Gajanand Sharma, Dinesh Goyal, Ruchi Sharma, Abhilasha Kumari:
Using Twitter to predict the start and progression of mental illness. 179:1-179:7 - Deepkiran Munjal, Mrinal Pandey, Laxman Singh:
Convolution Neural Network based efficient Segmentation and Classification Model for Disease Classification in Plant Images. 180:1-180:5 - Mirza Equtidar Husain, Imran Hussain, Safdar Tanweer, Ihtiram Raza Khan:
Transitioning from Data Centers to Cloud: An In-depth Analysis of Microsoft SQL Server's Role in DBaaS and On-Premise Solutions. 181:1-181:9 - Mohit Tiwari, Tripti Tiwari, Amrita Ticku, Himanshu Dadhwal, Tushar Singh:
Methodologies and Challenges of Cybersecurity Techniques in Cloud Computing Environment. 182:1-182:7
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