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ORCID16th MIWAI 2023: Hyderabad, India
- Morusupalli Raghava
, Teja Santosh Dandibhotla, Vani Vathsala Atluri, David Windridge, Pawan Lingras, Venkateswara Rao Komati:
Multi-disciplinary Trends in Artificial Intelligence - 16th International Conference, MIWAI 2023, Hyderabad, India, July 21-22, 2023, Proceedings. Lecture Notes in Computer Science 14078, Springer 2023, ISBN 978-3-031-36401-3 - Hrushikesha Mohanty:
Digital Life: An Advent of Transhumanism. 1-24 - Sebanti Majumder, Alok Singh:
Heuristics for K-Independent Average Traveling Salesperson Problem. 25-35 - Derwin Suhartono, Adhella Subalie:
Book Recommendation Using Double-Stack BERT: Utilizing BERT to Extract Sentence Relation Feature for a Content-Based Filtering System. 36-47 - Nagarjuna Chereddy, Bharath Kumar Bolla:
Evaluating the Utility of GAN Generated Synthetic Tabular Data for Class Balancing and Low Resource Settings. 48-59 - Ch. Ram Anirudh, Kavi Narayana Murthy:
How Good are Transformers in Reordering? 60-67 - R. Anand Krishna, R. V. S. Krishna Dutt, P. Premchand:
Automatic Differentiation Using Dual Numbers - Use Case. 68-78 - M. Shravani, D. Sudheer Reddy, B. Krishna Reddy:
On Some Properties of a New PoisN Wavelet Family. 79-90 - Rahul Kumar Gautam, Anjeneya Swami Kare, S. Durga Bhavani:
Centrality Measures Based Heuristics for Perfect Awareness Problem in Social Networks. 91-100 - Akshay Badola, Vineet Padmanabhan, Rajendra Prasad Lal:
Re-examining Class Selectivity in Deep Convolutional Networks. 101-111 - Nageswar Rao Kota, Vineet Padmanabhan, Wilson Naik Bhukya:
Content Based Network Representational Learning for Movie Recommendation (CNMovieRec). 112-123 - A. Sandhya Rani, K. Swarupa Rani:
Parallel and Distributed Query Processing in Attributed Networks. 124-134 - Ravi Uyyala, Jyothirmai Joshi:
Gradient Directional Predictor for Reconstructing High-Fidelity Images. 135-146 - Anoop V. S., Jose Thekkiniath, Usharani Hareesh Govindarajan:
We Chased COVID-19; Did We Forget Measles? - Public Discourse and Sentiment Analysis on Spiking Measles Cases Using Natural Language Processing. 147-158 - H. S. Shashank, Anirudh B. Sathyanarayana, Aniruddh Acharya, M. R. Akhil, Sujatha R. Upadhyaya:
Swarm Learning for Oncology Research. 159-168 - C. Radhika, G. V. Ganesh, P. Ashok Babu:
A Review on Designing of Memory Computing Architecture for Image Enhancement in AI Applications. 169-178 - Dudla Anil Kumar, M. Ezhilarasan:
Shufflenetv2: An Effective Technique for Recommendation System in E-Learning by User Preferences. 179-191 - Mahpara Yasmin Mohd Minhaz Alam, Wilson Naik:
A Multi-modal Approach Using Game Theory for Android Forensics Tool Selection. 192-202 - Ashwitha Gatadi, K. Swarupa Rani:
LPCD: Incremental Approach for Dynamic Networks. 203-213 - Atharwa Wagh, Manju Khanna:
Clinical Abbreviation Disambiguation Using Clinical Variants of BERT. 214-224 - N. Prabhas Raj, G. Tarun, D. Teja Santosh, Morusupalli Raghava:
Ontological Scene Graph Engineering and Reasoning Over YOLO Objects for Creating Panoramic VR Content. 225-235 - Maneesha Gudapati, K. Swarupa Rani:
Incremental Classifier in the Semi Supervised Learning Environment. 236-244 - Namrata Nair, Prabaharan Poornachandran, V. G. Sujadevi, M. Aravind:
Alzheimer's Detection and Prediction on MRI Scans: A Comparative Study. 245-254 - Bharath Raj Anand Kumar, Sheetal Katiyar, Prasanth Lingada, Karunakar Mattaparthi, R. Krishna, Gnana Prakash, Dileep Vuppaladhadiam, Narayana Darapaneni, Anwesh Reddy Paduri:
Evaluating the Performance of Diverse Machine Learning Approaches in Stock Market Forecasting. 255-264 - Sneha Devrani, Rohit Ahuja, Anirudh Goel, Sahajdeep Singh Kharbanda:
A Blockchain-Driven Framework for Issuance of NFT-Based Warranty to Customers on E-Commerce. 265-276 - Rashmi Malhotra, D. K. Malhotra:
Using Machine Learning Models to Predict Corporate Credit Outlook. 277-284 - Harinath Kuruva, K. Swarupa Rani, Salman Abdul Moiz:
Visualization Recommendation for Incremental Data Based on Intent. 285-296 - Krishna Mridha, Fitsum Getachew Tola, Shakil Sarkar, Nazmul Arefin, Sandesh Ghimire, Anmol Aran, Aashish Prashad Pandey:
Automating Malaria Diagnosis with XAI: Using Deep-Learning Technologies for More Accurate, Efficient, and Transparent Results. 297-308 - Neelima Guntupalli, Vasantha Rudramalla:
Artificial Intelligence as a Service: Providing Integrity and Confidentiality. 309-315 - Chetan Mudlapur, Samyak Jain, Shruti Mittal, Pravar Jain, Vikram Neerugatti:
Live Bidding Application: Predicting Shill Bidding Using Machine Learning. 316-323 - Sabhapathy Myakal, Rajarshi Pal, Nekuri Naveen:
A Novel Pixel Value Predictor Using Long Short Term Memory (LSTM) Network. 324-335 - Y. Subba Reddy, V. Thanuja, G. Sreenivasulu, N. Thulasi Chitra, K. Venu Madhav:
Efficient Trajectory Clustering of Movements of Moving Objects. 336-347 - Srinivasulu Sirisala, G. Rajeswarappa, Srikanth Lakumarapu:
Node Cooperation Enforcement Scheme for Enhancing Quality of Service in MANETs Using Machine Learning Approach. 348-355 - Anirban Choudhury, Sudipta Roy:
Interpreting Chest X-Ray Classification Models: Insights and Complexity Measures in Deep Learning. 356-367 - Narayana Darapaneni, Anwesh Reddy Paduri, Jayesh Gulani, Sanath Aithu, M. M. Santhosh, Shaji Varghese:
Nuclei Segmentation Approach for Computer Aided Diagnosis. 368-379 - Rugved Pandit, Neeraj Nerkar, Parmesh Walunj, Rishi Tank, Sujata Kolhe:
Stock Market Intraday Trading Using Reinforcement Learning. 380-389 - B. Naga Malleswara Rao, P. V. Ramana, B. Akhila Meenakshi:
Predicting the Droughts Using Artificial Neural Networks - A Case Study. 390-398 - E. Uma Reddy, N. Nagarjuna:
Applying Machine Learning for Portfolio Switching Decisions. 399-406 - Rohini A. Bhusnurmath, Shaila Doddamani:
Bark Texture Classification Using Deep Transfer Learning. 407-420 - Suhail Afroz, Ch. V. S. Satyamurty, P. Asifa Tazeem, M. Hanimi Reddy, Y. Md. Riyazuddin, Vijetha Jadda:
Dynamic Twitter Topic Summarization Using Speech Acts. 421-428 - Vijai Danni, Keshab Nath:
Generative Adversarial Network for Augmenting Low-Dose CT Images. 429-441 - D. V. S. Durgesh, M. V. S. Saket, Ramana Reddy B:
Improving Software Effort Estimation with Heterogeneous Stacked Ensemble Using SMOTER over ELM and SVR Base Learners. 442-448 - Bethany Gosala, Emmanuel Raj Gosala, Manjari Gupta:
A Deep Learning Based Model to Study the Influence of Different Brain Wave Frequencies for the Disorder of Depression. 449-458 - Panich Sudkhot, Chattrakul Sombattheera:
Planning Strategy of BDI Agents for Crowd Simulation. 459-474 - K. T. Krishnamurthy, S. Rohith, G. M. Basavaraj, S. Swathi, S. Supreeth:
Design and Development of Walking Monitoring System for Gait Analysis. 475-483 - Sudhakar Kalva, Naganjaneyulu Satuluri:
Stock Market Investment Strategy Using Deep-Q-Learning Network. 484-495 - G. Senthil Kumar, Midhun Chakkaravarthy:
A Survey on Recent Text Summarization Techniques. 496-502 - Narayana Darapaneni, Anwesh Reddy Paduri, Umesh Tank, Balassubramamian KanthaSamy, Ashish Ranjan, R. Krisnakumar:
Conversational AI: A Study on Capabilities and Limitations of Dialogue Based System. 503-512 - Naresh Kumar, Merlin Sheeba:
Co-clustering Based Methods and Their Significance for Recommender Systems. 513-522 - Sagar Mekala, A. Mallareddy, Rama Rao Tandu, Konduru Radhika:
Machine Learning and Fuzzy Logic Based Intelligent Algorithm for Energy Efficient Routing in Wireless Sensor Networks. 523-533 - Vamsi Krishna Mulukutla, Sai Supriya Pavarala, Vinay Kumar Kareti, Sujan Midatani, Sridevi Bonthu:
Sentiment Analysis of Twitter Data on 'The Agnipath Yojana'. 534-542 - Sabhapathy Myakal, Rajarshi Pal, Nekuri Naveen:
Pixel Value Prediction Task: Performance Comparison of Multi-Layer Perceptron and Radial Basis Function Neural Network. 543-553 - Lakshmi Kishore Kumar Nekkanti, Varaprasad Rao:
A Yolo-Based Deep Learning Approach for Vehicle Class Classification. 554-568 - Mohammed Ozair Omar, D. Teja Santosh, Morusupalli Raghava, Jyothirmai Joshi:
Rescheduling Exams Within the Announced Tenure Using Reinforcement Learning. 569-579 - Swati Agarwal, Chetna Bhardwaj, Glory Gatkamani, Raghav Gururaj, Narayana Darapaneni, Anwesh Reddy Paduri:
AI Based Employee Attrition Prediction Tool. 580-588 - S. Akshay, Joseph Amudha, Nilima Kulkarni, L. K. Prashanth:
iSTIMULI: Prescriptive Stimulus Design for Eye Movement Analysis of Patients with Parkinson's Disease. 589-600 - Shreyas Ajgaonkar, Pravin Tale, Yash Joshi, Pranav Jore, Mrunmayee Jakate, Snehal Lavangare, Deepali Kadam:
EduKrishnaa: A Career Guidance Web Application Based on Multi-intelligence Using Multiclass Classification Algorithm. 601-610 - Pappula Madhavi, K. P. Supreethi:
Multi-dimensional STAQR Indexing Algorithm for Drone Applications. 611-619 - Sunanda Perla, Kavitha Dwaram:
Low Light Image Illumination Adjustment Using Fusion of MIRNet and Deep Illumination Curves. 620-636 - P. T. Satyanarayana Murty, M. Prasad, P. B. V. Raja Rao, P. Kiran Sree, G. Ramesh Babu, Ch. Phaneendra Varma:
A Hybrid Intelligent Cryptography Algorithm for Distributed Big Data Storage in Cloud Computing Security. 637-648 - Rohit Ahuja, Rajendra Kumar Roul:
An Ensemble Technique to Detect Stress in Young Professional. 649-658 - S. Akshay, Joseph Amudha, Nakka Narmada, Amitabh Bhattacharya, Nitish Kamble, Pramod Kumar Pal:
iAOI: An Eye Movement Based Deep Learning Model to Identify Areas of Interest. 659-670 - Koyyalagunta Krishna Sampath, M. Supriya:
Traffic Prediction in Indian Cities from Twitter Data Using Deep Learning and Word Embedding Models. 671-682 - Vijay Simha Reddy Chennareddy, Santosh Tirunagari, Senthilkumar Mohan, David Windridge, Yashaswini Balla:
Interpretable Chronic Kidney Disease Risk Prediction from Clinical Data Using Machine Learning. 683-691 - Suguna Mallika S., A. Sanjana, A. Vani Gayatri, S. Veena Naga Sai:
Sign Language Interpretation Using Deep Learning. 692-703 - Narayana Darapaneni, Anwesh Reddy Paduri, B. S. Sunil Kumar, S. Nivetha, Varadharajan Damotharan, Suman Sourabh, S. R. Abhishek, V. Albert Princy:
Redefining the World of Medical Image Processing with AI - Automatic Clinical Report Generation to Support Doctors. 704-713 - V. Swapna, Srikanth Bethu, G. Vijaya Lakshmi, Kanthala Sampath Kumar, V. V. Haragopal:
Statistical Analysis of the Monthly Costs of OPEC Crude Oil Using Machine Learning Models. 714-722 - P. R. Visakh, P. N. Meena, Anoop V. S.:
Conversational Artificial Intelligence in Digital Healthcare: A Bibliometric Analysis. 723-734 - Narayana Darapaneni, Anwesh Reddy Paduri, Sourav Kundu, Lokesh Jayanna, N. Balasubramaniam, M. P. Manohar, B. Rajesh, Sudhakar Moses Munnangi:
Demand and Price Forecasting Using Deep Learning Algorithms. 735-746 - Thangarajan Baskaran, Nimitha John, B. V. Dhandra:
Hybrid Model Using Interacted-ARIMA and ANN Models for Efficient Forecasting. 747-756 - Santosh Tirunagari, Senthilkumar Mohan, David Windridge, Yashaswini Balla:
Addressing Challenges in Healthcare Big Data Analytics. 757-765 - Agashini V. Kumar, Atharwa Wagh, Abdulqahar Mukhtar Abubakar, Joseph Amudha, Chandrika K. R.:
Assessing Reading Patterns of Learners Through Eye Tracking. 766-777 - Niharika Wamane, Aishwarya Yadav, Jidnyasa Bhoir, Deep Shelke, Deepali Kadam:
Comparison of Deep Learning Algorithms for Early Detection of Melanoma Skin Cancer on Dermoscopic and Non-dermoscopic Images. 778-785
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