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ORCIDExpert Systems - The Journal of Knowledge Engineering, Volume 42
Volume 42, Number 1, January 2025
Review
- Mariana Coelho, Martin Cerný, João Manuel R. S. Tavares:
Deep learning methods to detect Alzheimer's disease from MRI: A systematic review. - Anuradha Dahiya, Sukhdip Singh, Gulshan Shrivastava:
Android malware analysis and detection: A systematic review.
Original Article
- Shanza Rasham, Habib Ullah Khan, Fahad Maqbool, Muhammad Saad Razzaq, Sajid Anwar, Muhammad Ilyas:
Structured knowledge creation for Urdu language: A DBpedia approach. - Maria-Alexandra Paun, Mihai-Virgil Nichita, Vladimir-Alexandru Paun, Viorel Puiu Paun:
Fifth-generation fractal antenna design based on the Koch Snowflake geometry. A fractal theory application. - Fahad Maqbool, Muhammad Fahad, Muhammad Ilyas, Hajira Jabeen:
Graph colouring using evolutionary computation: A case study of blind naked mole-rat algorithm. - Varun Ganjigunte Prakash, Manu Kohli, Aragulla Prasad Prathosh, Monica Juneja, Manushree Gupta, Smitha Sairam, Sadasivan Sitaraman, Anjali Sanjeev Bangalore, John Vijay Sagar Kommu, Lokesh Saini, Prashant Ramesh Utage, Nishant Goyal:
Video-based real-time assessment and diagnosis of autism spectrum disorder using deep neural networks. - Gousia Habib, Shaima Qureshi:
Compressed lightweight deep learning models for resource-constrained Internet of things devices in the healthcare sector. - Aparna Gopalakrishnan, Narayan P. Kulkarni, Chethan B. Raghavendra, Raghavendra Manjappa, Prasad B. Honnavalli, Sivaraman Eswaran:
PriMed: Private federated training and encrypted inference on medical images in healthcare. - Majed S. Balalaa, Anouar Ben Mabrouk:
A wavelet multifractal model for quality of life index measuring during pandemics and crises. - Selim Reza, Marta Campos Ferreira, José J. M. Machado, João Manuel R. S. Tavares:
A citywide TD-learning based intelligent traffic signal control for autonomous vehicles: Performance evaluation using SUMO. - José Machado, Carla Rodrigues, Regina Sousa, Luís Mendes Gomes:
Drug-drug interaction extraction-based system: An natural language processing approach. - Divager Balasubramaniyan, Nor Azura Husin, Norwati Mustapha, Nurfadhlina Mohd Sharef, Teh Noranis Mohd Aris:
Flock optimization induced deep learning for improved diabetes disease classification. - Sarhang Salahadin Saleh, Khairi Ali Auso:
The role of transformational leadership in enhancing competitive advantage for E-business analysis in organisational practices. - Sabrine Arfaoui, Nidhal Ben Abdallah:
Robustness and sensitivity of some wavelet multifractal models in fractal data modelling. - Maragoni Mahendar, Arun Malik, Isha Batra:
Emotion estimation model for cognitive state analysis of learners in online education using deep learning. - Madala Guru Brahmam, R. Vijay Anand:
MBRSDTC: Design of a multimodal bioinspired model to improve resource scheduling efficiency with differential task-level constraints. - Belhassen Akrout:
Deep facial emotion recognition model using optimal feature extraction and dual-attention residual U-Net classifier. - Sagnik Sarkar, Shaashwat Agrawal, Aditi Chowdhuri, Ramani Selvanambi:
Progressive search personalization and privacy protection using federated learning. - Joshua Samual, Masnida Hussin, Nor Asilah Wati Abdul Hamid, Azizol Abdullah:
Frequency aware task scheduling using DVFS for energy efficiency in Cloud data centre. - Felipe Buitrago, Luis Fernando Castillo Ossa, Jeferson Arango-López:
Automatic detection surface defects based on convolutional neural networks and deflectometry. - Nuha Qais Abdulmajeed, Belal Al-Khateeb, Mazin Abed Mohammed:
Voice pathology identification system using a deep learning approach based on unique feature selection sets. - Allan M. C. Bretas, Alexandre Mendes, Stephan K. Chalup, Martin Jackson, Riley Clement, Claudio Sanhueza:
Addressing deadlock in large-scale, complex rail networks via multi-agent deep reinforcement learning. - Bàrbara Llacay, Gilbert Peffer:
Categorical surrogation of agent-based models: A comparative study of machine learning classifiers. - Dalila Durães, Flávio Arthur O. Santos, Francisco Supino Marcondes, Niklas Hammerschmidt, Paulo Novais:
Applying multisensor in-car situations to detect violence. - Zichen Wu, Jingyi He, Siyuan Hu, Jiabao Wen:
The prediction of two-dimensional intelligent ocean temperature based on deep learning. - Haitao Hu, Piercarlo Cattani, Shuli Mei:
Hermite-Shannon-Cosine spectral method for fractional partial differential equations. - Vishwanath Madhava Shervegar:
A robust sliding window adaptive filtering technique for phonocardiogram signal denoising. - Huosong Xia, Yaqi Tian, Justin Zuopeng Zhang, Yulong Liu:
Exploring the impact of online news sentiment and relevance on stock market risks: A signalling theory perspective. - Borja Bordel, Ramón Alcarria, Tomás Robles:
Interferenceless coexistence of 6G networks and scientific instruments in the Ka-band. - Jun Ju, Hanna Kurniawati, Dirk P. Kroese, Nan Ye:
Model-based offline reinforcement learning for sustainable fishery management. - S. Nagarajan, P. Shobha Rani, M. S. Vinmathi, V. Subba Reddy, Angel Latha Mary Saleth, D. Abdus Subhahan:
Multi agent deep reinforcement learning for resource allocation in container-based clouds environments. - Xiaotong Wu, Jiaquan Gao, Muhammad Bilal, Fei Dai, Xiaolong Xu, Lianyong Qi, Wanchun Dou:
Federated learning-based private medical knowledge graph for epidemic surveillance in internet of things. - Yanzhe Ma:
Deep learning-based image processing for financial audit risk quantification in healthcare. - R. Mythili, B. Sathya bama, P. Santhosh Kumar, Sanchali Das, Ramya Thatikonda, Syed Inthiyaz:
Radial basis function networks with lightweight multiscale fusion strategy-based underwater image enhancement. - J. Syed Nizamudeen Ahmed, M. Mohamed Sathik, Krishnan Nallaperumal, Senthamarai Kannan Kaliaperumal, Parasuraman Kumar, T. Arumuga Maria Devi:
Deep learning techniques on 3D-MRI lung images for detection and segmentation of COVID-19 virus. - Ali Alqahtani, Nayef Alqahtani, Abdulaziz A. Alsulami, Stephen Ojo, Prashant Kumar Shukla, Shraddha V. Pandit, Piyush Kumar Pareek, Hany S. khalifa:
Classifying electroencephalogram signals using an innovative and effective machine learning method based on chaotic elephant herding optimum. - Bhagyashri Devi, M. Mary Synthuja Jain Preetha:
Facial emotion recognition using convolutional neural network based krill head optimisation. - Fábio Caiado, Joana Fonseca, Joana Silva, Soraia Neves, Ana Moreira, Ramiro Gonçalves, José Martins, Frederico Branco, Manuel Au-Yong-Oliveira:
The impact of digital influencers on product/service purchase decision making - An exploratory case study of Portuguese people. - Okan Buyuktepe, Cagatay Catal, Gorkem Kar, Yamine Bouzembrak, Hans Marvin, Anand Gavai:
Food fraud detection using explainable artificial intelligence. - Suvarna Joshi, Stephen Ojo, Sangeeta Yadav, Preeti Gulia, Nasib Singh Gill, Hassan Alsberi, Ali Rizwan, Mohamed M. Hassan:
Object detection and classification from compressed video streams. - Kapil Aggarwal, Bui Thanh Khoa, K. V. Daya Sagar, Ruchi Agrawal, Mallika Dhingra, Jagrit Dhingra, Lakshmana Kumar:
Marketing information system based on unsupervised visual data to manage transportation industry using signal processing. - Mamoune Benaida, Ibtissam Abnane, Ali Idri:
Deep learning based one step and multi-steps ahead forecasting blood glucose level. - Yibo Wang, Meng Xi, Yubo Weng:
Intelligent path planning algorithm of Autonomous Underwater Vehicle based on vision under ocean current. - Thanh Manh Le, Nguyen Thi Dinh, Thanh The Van:
Developing a model semantic-based image retrieval by combining KD-Tree structure with ontology. - Hasnae Zerouaoui, Ali Idri, Omar El Alaoui:
DHHoE: Deep hybrid homogenous ensemble for digital histological breast cancer classification. - R. Thilagavathy, J. Jagadeesan, A. Parkavi, M. Radhika, S. Hemalatha, Mohammad Gouse Galety:
Digital transformation in healthcare using eagle perching optimizer with deep learning model. - Mahesh Boddu, Soumitra Kumar Mandal:
VLSI implementation of image compressor using probabilistic run length coding. - Aaishwarya Khalane, Rikesh Makwana, Talal Shaikh, Abrar Ullah:
Evaluating significant features in context-aware multimodal emotion recognition with XAI methods. - Qi Yang, Songhu Liu, Tianzhuo Gong:
Improve the application of reinforcement learning and multi-modal information in music sentiment analysis. - Azath Mubarakali, A. Shobanadevi, Hazhar Omer Mohammed, Rahul Pradhan, Vuyyuru Lakshma Reddy, B. Bizu, V. Praveena:
Advancements in business processes to improve business marketing processes through advanced signal processing. - Jing Nie, Jiachen Jiang, Yang Li, Huting Wang, Sezai Ercisli, LinZe Lv:
Data and domain knowledge dual-driven artificial intelligence: Survey, applications, and challenges. - Saurabh Agarwal, K. V. Arya:
CXRNet: CNN-attention based CXR image classifier. - S. Sreelakshmi, V. S. Anoop:
A deep convolutional neural network model for medical data classification from computed tomography images. - Guiling Song, Wei Xu:
A method of automatic field of view generation and path planning for automated x-ray inspection. - Dongxia Zheng, Yi Yuan:
Pose recognition of dancing images using fuzzy deep learning technique in an IoT environment. - Bahareh Amirshahi, Salim Lahmiri:
Investigating the effectiveness of Twitter sentiment in cryptocurrency close price prediction by using deep learning. - Ahmed Alkhayyat, Ali Mahdi Zalzala, Asaad A. M. AL-Salih, Anwar Ja'afar Mohamad Jawad, Wameedh Riyadh Abdul Adheem, Jamshed Iqbal, Ibraheem Kasim Ibraheem, Waleed K. Ibrahim, Mustafa Musa Jaber, Asaad Shakir Hameed:
A novel class of adaptive observers for dynamic nonlinear uncertain systems. - Antonio Bruno, Davide Moroni, Massimo Martinelli:
Efficient adaptive ensembling for image classification. - Fuxian Ning, Jiahui Jin, Lingling Zhang, Da Wang:
Risk analysis of China's financial market collapse based on cloud computing and machine learning algorithms. - Vivekanandan Dharmalingam, Lakshmi Harika Palivela, Pugazhendi Elangovan:
Effective dehazing of night-time images using open dark channel prior and wavelet transform. - Jinjing Chi:
Speech recognition and artificial intelligence based on the development of music system. - Marinko Skare, Beata Gavurova, Volodymyr Polishchuk:
A large-scale decision-making model for the expediency of funding the development of tourism infrastructure in regions. - Huinan Liu, Mohd Feroz Shah De Costa bin Mohd Faris De Costa, Megat Al-lmran Bin Yasin, Qijie Ruan:
A study on how social media influences on impulsive buying. - Weiguang Liu, Abdulmajeed Alqhatani, Fatima Asiri, Ely Salwana:
Customer preference analysis towards online shopping decisions based on optimized feature extraction. - Zheng Xu, Yuzan Dai, Ji Liu:
An empirical study of blockchain-based models of interest margin of secondary capital bond issuance in the internet of things environment. - Himanshu Kumar Singh, Kedar Nath Singh, Amit Kumar Singh:
Secure transmission of ocean images using deep learning-based data hiding. - Meng Liu, Zhao Min, Li Li, Piercarlo Cattani, Shuli Mei:
Shannon-Cosine wavelet precision integration method for image enhancement based on fractional partial differential equations. - Ashwani Kumar Dubey, Jibi G. Thanikkal:
Deep learning based identification of aquatic and semi aquatic plants. - Wenli Shan:
Optimal pricing strategies and decision-making systems in e-commerce using integrated fuzzy multi-criteria method. - Muhammad Farman, Ali Akgül, Harish Garg, Dumitru Baleanu, Evren Hincal, Sundas Shahzeen:
Mathematical analysis and dynamical transmission of monkeypox virus model with fractional operator. - Mengrui Zhu, Jiankun Wang:
Exploration and practice of data thinking in the application of E-Commerce art design course under the background of big data. - Martin Fyvie, John A. W. McCall, Lee A. Christie, Alexander E. I. Brownlee, Manjinder Singh:
Towards explainable metaheuristics: Feature extraction from trajectory mining. - C. Thangaraj, D. Easwaramoorthy, G. Muhiuddin, Bilel Selmi, Vladimir V. Kulish:
Fractal based automatic detection of complexity in COVID-19 X-ray images. - Jian Pi:
Electronic music composition thinking using visual learning and visual sensing technology. - Alexandru Capatina, Adrian Micu, Angela-Eliza Micu, Samuel Ribeiro-Navarrete:
Knowledge maps for large-scale group decision making in social media content analysis. - Jesús Ángel Román Gallego, María Luisa Pérez-Delgado, Marcos Luengo Viñuela, María-Concepción Vega-Hernández:
Artificial Intelligence Web Application Firewall for advanced detection of web injection attacks. - Arslan Naseer, Muhammad Muheet Khan, Fahim Arif, Waseem Iqbal, Awais Ahmad, Ijaz Ahmad:
An improved hybrid model for cardiovascular disease detection using machine learning in IoT. - Carlos Fernandez-Basso, Karel Gutiérrez-Batista, Juan Gómez-Romero, M. Dolores Ruiz, María J. Martín-Bautista:
An AI knowledge-based system for police assistance in crime investigation. - Momina Meer, Muhammad Attique Khan, Kiran Jabeen, Ahmed Ibrahim Alzahrani, Nasser Alalwan, Mohammad Shabaz, Faheem Khan:
Deep convolutional neural networks information fusion and improved whale optimization algorithm based smart oral squamous cell carcinoma classification framework using histopathological images. - Shuang Guo, Kun Wu, Seunggil Jeon, Xiaomin Yang:
IETAFusion: An illumination enhancement and target-aware infrared and visible image fusion network for security system of smart city. - Shitharth Selvarajan, Achyut Shankar, Mueen Uddin, Abdullah Saleh Alqahtani, Taher Al-Shehari, Wattana Viriyasitavat:
A smart decentralized identifiable distributed ledger technology-based blockchain (DIDLT-BC) model for cloud-IoT security. - Jeferson Arango-López, Gustavo A. Isaza, Fabian Ramirez, Néstor D. Duque, Jose Montes:
Cloud-based deep learning architecture for DDoS cyber attack prediction. - Chao Hua, Zhenhua Zhang, Jianjun Miao, Jingwei Han, Zhiyuan Zhu:
Spatial coordination and industrial pollution of urban agglomerations: Evidence from the Yellow River Basin in China. - Collins Ogundipe, Alex Ellery:
Adaptive solution to transfer learning of neural network controllers from earth to space environments. - Philippe Chassy, Jon Cole, Chloe Brennan:
Evolution of confrontation and cooperation in simple organisms as a function of environmental resources and cost of a conflict. - Shtwai Alsubai, Ashit Kumar Dutta, Abdul Rahaman Wahab Sait, Yasser Adnan Abu Jaish, Bader Hussain Alamer, Hussam Eldin Hussein Saad, Rashid Ayub:
Enhanced slime mould optimization with convolutional BLSTM autoencoder based malware classification in intelligent systems. - Andrea Vázquez-Ingelmo, Alicia García-Holgado, Francisco José García-Peñalvo, Roberto Therón, Ricardo Colomo Palacios:
A new frontier in dashboard design: Evaluating an innovative meta-modelling approach through expert insights. - Jairo Ivan Vélez Bedoya, Manuel González Bedia, Luis Fernando Castillo Ossa, Jeferson Arango-López, Jaime Díaz Arancibia:
Exploring deep learning techniques for illuminance estimation. - Manu Kohli, Arpan Kumar Kar, Shuchi Sinha, Swati Kohli:
Stakeholder perception towards a machine-learning-based digital platform for detection and management of autism spectrum disorder. - Yuhuan Kong:
Preventing and mitigating risks of rumours during major pandemics in the era of artificial intelligence: A perspective on vulnerability. - Hamad Naeem, Farhan Ullah, Gautam Srivastava:
Classification of intrusion cyber-attacks in smart power grids using deep ensemble learning with metaheuristic-based optimization. - Anbar Hussain, Wajid Ali, Awais Ahmad, Muhammad Shahid Iqbal, Syed Atif Moqurrab, Anand Paul, Sohail Jabbar, Sheeraz Akram:
Enhancing COVID-19 misinformation detection through novel attention mechanisms in NLP. - Ramesh Kait, Sarbjit Kaur, Purushottam Sharma, Chhikara Ankita, Tajinder Kumar, Xiaochun Cheng:
Fuzzy logic-based trusted routing protocol using vehicular cloud networks for smart cities. - Junlin Qiu, Yongshan Shen, Jianchu Lin, Yuxin Qin, Jian Yang, Hengdan Lei, Minghui Li:
An enhanced method for surface defect detection in workpieces based on improved MobileNetV2-SSD. - Dipika Jain, Akshi Kumar:
AI unveiled personalities: Profiling optimistic and pessimistic attitudes in Hindi dataset using transformer-based models. - Pinki, Rakesh Kumar, S. Vimal, Norah Saleh Alghamdi, Gaurav Dhiman, Subbulakshmi Pasupathi, Aarna Sood, Wattana Viriyasitavat, Assadaporn Sapsomboon, Amandeep Kaur:
Artificial intelligence-enabled smart city management using multi-objective optimization strategies. - Jing Liang, Yan Gong:
Security and privacy protection protocol based on edge computing in smart campus. - Khalid Haseeb, Tanzila Saba, Amjad Rehman, Naveed Abbas, Pyoung Won Kim:
AI-driven IoT-fog analytics interactive smart system with data protection. - José Alejandro Mosquera Asimbaya, Gabriel M. Ramirez, Jaime Díaz Arancibia:
Advancing democratic processes in Ecuador: A case study on neural network-driven OCR for election report verification. - Mohanad R. Aljanabi, Keivan Borna, Shamsollah Ghanbari, Ahmed J. Obaid:
Integrating singular value decomposition with deep learning for enhanced travel time estimation in multimodal freight transportation networks. - Xiaohong Liu, Chengzhen Xu, Yinghao Pan, Xingchen Li, Qingyuan Zhu:
Data-driven allocation of renewables quota among regional power industries under the policy of renewable electricity standard. - Sami J. Habib, Paulvanna Nayaki Marimuthu:
Extracting the explore-exploit intelligence of Physarum to manage the sustainability of an enterprise network. - Shynar Mussiraliyeva, Milana Bolatbek, Gulshat Baispay:
Investigating long short-term memory approach for extremist messages detection in Kazakh language. - Fakhri Alam Khan:
Cloud-based provenance framework for duplicates identification and data quality enhancement. - Uday Mittal, Shivam Goyal, Egna Praneeth Gummana, Vinay Chamola, Shivi Agarwal, Trilok Mathur:
FoodBlock: A secure and cost-optimal framework for online food ordering using blockchain. - Chi Ho Lau, Sammy Chan:
Comparison on resilience and energy efficiency of authentication schemes in IoT networks. - Fancy Chelladurai, Nagappan Krishnaraj, K. Ishwarya, G. Raja, Chandrasekaran Shyamala:
Modelling of healthcare data analytics using optimal machine learning model in big data environment. - Gintautas Dzemyda, Olga Kurasova, Viktor Medvedev, Ausra Suboniene, Aiste Kielaite-Gulla, Arturas Samuilis, Dziugas Jagminas, Kestutis Strupas:
Deep learning-based aggregate analysis to identify cut-off points for decision-making in pancreatic cancer detection. - Shumaila Khan, Iqbal Qasim, Wahab Khan, Khursheed Aurangzeb, Javed Ali Khan, Muhammad Shahid Anwar:
A novel transformer attention-based approach for sarcasm detection. - Limin Zhang:
Prediction of Liaoning province steel import and export trade based on deep learning models. - Chao Zhong, Pengjun Li, Jinlong Wang, Xiaoyun Xiong, Zhihan Lv, Xiaochen Zhou, Qixin Zhao:
Enterprise violation risk deduction combining generative AI and event evolution graph. - Ke Meng, Zhiyong Wu, Muhammad Bilal, Xiaoyu Xia, Xiaolong Xu:
Blockchain-enabled decentralized service selection for QoS-aware cloud manufacturing. - Madallah Alruwaili, Muhammad Hameed Siddiqi, Muhammad Idris, Salman Alruwaili, Abdullah Saleh Alanazi, Faheem Khan:
Advancing Disability Healthcare Solutions Through Privacy-Preserving Federated Learning With Theme Framework. - Mohammed Salem Atoum, Ala Abdulsalam Alarood, Eesa Abdullah Alsolmi, Areej Obeidat, Moutaz Alazab:
Predictive Analysis of Global Terrorist Attacks Using Lexical Patterns Across Multiple Datasets.
Survey Article
- Alejandro Platas-López, Alejandro Guerra-Hernández, Marcela Quiroz-Castellanos, Nicandro Cruz-Ramírez:
A survey on agent-based modelling assisted by machine learning. - Fátima Leal, Bruno Veloso, Benedita Malheiro, Juan C. Burguillo:
Towards adaptive and transparent tourism recommendations: A survey.
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last updated on 2025-01-04 01:01 CET by the dblp team
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