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Articles in Online First are peer reviewed, accepted articles that are not yet assigned to volumes/issues, but have a DOI and are fully citable. Please note that the article in Online First version will be removed and the final version will appear in the associated published online volumes/issues of the publication if the final version is assigned to volumes/issues.

Published: 2023-01-30

Review

Review of the Performance of CNN Models on Handwriting Recognition

Sabyasachi Mazumder, Sayan Neogy, Sahana Das, Kaushik Roy, Umapada Pal
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Addressing Privacy-Preservation in Healthcare Using Federated Learning: A Survey

Faria Karamat, Atta Ur Rahman, Bibi Saqia, Adeel Zafar, Waqas Ali Khan
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Artificial Intelligence of Things Technologies for Predictive Crop Disease Models in Precision Agriculture: A Systematic Review

Muhammad Bello Kusharki, Muhammad Muktar Liman, Bilkisu Larai Muhammad-Bello, Moses Timothy
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Enhancing Smart Farming Through Federated Learning: A Secure, Scalable, and Efficient Approach for AI-Driven Agriculture

Ritesh Janga, Rushit Dave
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A Danish Chatbot for Kaj Munk: Experiences in Developing a Chatbot for the Study of Kaj Munk’s Ordet

David Jakobsen, Simon K. Pacis, Sara F. Jalk, Peter Øhrstrøm
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A Comprehensive Literature Review and Bibliometric Analysis of the Development and Difficulties of Artificial Intelligence Methods for International Roughness Index Prediction

Lendra Lendra, Mochamad Agung Wibowo, Jati Utomo Dwi Hatmoko, Rony Teguh
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Communication-Efficient Federated Learning: A Systematic Review of Model Compression and Aggregation Techniques

Femi Temitope Johnson, Elugbadebo Oladapo, Olukumoro Olugbenga, Alomaja Victor, Akande Adenike
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A Systematic Investigation of the Current State of Security in Electronic Medical Images: 2019–2024

Divya Sharma, Chander Prabha
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Utility of Deep Learning to Address Missing Modalities from Multi-Modal Medical Imaging Studies: A Systematic Review

Jinzhao Qian, Ankita Joshi, Hailong Li, Nehal A. Parikh, Jonanthan R. Dillman, Lili He
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Literature Review of Methods for Detecting Non-Technical Electricity Losses in Distribution Grids

Irbek D. Morgoev, Roman V. Klyuev, Angelika D. Morgoeva
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Ethical Frameworks in AI Decision-Making: Comprehensive Analysis of Management and Human Resource Applications in Contemporary Organizations

Kirill Toropov, Irina Manakhova
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Blockchain Platforms for Developing Smart Contracts and Their Computational Performance Evaluation: A Systematic Literature Review

Alock Gupta, Kamlesh Lakhwani
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A Short Review on Computer Vision: Visualizing the World Through Machine

Mohammad Mehedi Hassan, Stephen Karungaru, Rezaul Bashar
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Prediction of Drug–Drug Interactions Based on Artificial Intelligence: A Systematic Literature Review

Faisal Asad ur Rehman, Abdulkarim Kanaan Jebna, Touqeer Ahmad, Arif Ur Rahman, Fasee Ullah
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A Review for Bridging Clinical and Technical Gaps with Hybrid ML in Schizophrenia Diagnosis

Syed Mossabbir Hossain, Nitun Kumar Podder, Md. Raihanul Haque, Poly Akter, Tasfia Rahman Asma
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Comprehensive Review of Artificial Intelligence and Edge Computing for Precision Weed Control

Adeayo Adewumi, Dharmendra Saraswat
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Research Article

Enhancing Big Data Classification Accuracy Through Deep Learning Techniques

Renuka Devi D., Swetha Margaret T. A.
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Robust Source Camera Identification of Image Using Mean Subtracted Contrast Normalization for Digital Forensic Investigation

Pabitra Roy, Shyamali Mitra, Nibaran Das
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Deep Learning System for Object Detection and Collision Free Handling in Industrial Robots

Ashish Chouhan, Shivam Shandilya, Pravanjan Nayak, Debasish Mishra, Surjya Kanta Pal
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Lexicon–Sentiment-Based Model for Detecting Fake News

Abdulkadir Shehu Bichi, Ibrahim Said Ahmad, Amina Imam Abubakar, Fa’iz Ibrahim Jibiya, Aisha Mustapha Ahmad, Nur Bala Rabiu
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Bridging the Gap Between Intuition and Explicit Knowledge in Strategic Business Design

Neil Kemp, Dominic Blood
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Facial and Gesture Recognition-based Deep Learning Model for Academic Time Attendance at PKRU Demonstration School

Tanagrit Chansaeng, Pita Jarupunphol
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Leveraging Artificial Immune Systems for Mental Health Research: Anomaly Detection in EEG Data

Shivani Bhandari, Neil Buckley, Emanuele Lindo Secco
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An Improved Model for Detecting the Presence of Pesticide Residues in Edible Parts of Tomatoes, Cabbages, Carrots, and Green Pepper Vegetables Using Batch Image Analysis

Nabaasa Evarist, Natumanya Deborah, Mabirizi Vicent
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An Effective ResNet Model for Respiratory Disease Detection: A Case Study on COVID-19 Chest X-ray Images

Bushra Hassan, Kaveh Kiani, Taha Mansouri
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A Framework for Adaptive Recommendation in Online Environments

Rogério Xavier de Azambuja, A. Jorge Morais , Vítor Filipe
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IDS-IoT: Intrusion Detection System for the Internet of Things Using Enhanced Long-Short Term Memory

Gaurav Meena, Ajay Indian
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Detection of Rice and Corn Plant Leaf Disease Using Invariants of Deep Learning Models and Edge Perspective

Zubair Saeed, Uzma Nawaz, Ali Raza, Kamran Javed
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Development of a Hyperparameter-Optimized Decision Support System for Cardiovascular Disease Prediction

Uzma Nawaz, Mufti Anees-ur-Rahaman, Hafiz Muhammad Ubaidullah, Chaudhry Muhammad Ali Nawaz, Zubair Saeed
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Training of the Dynamic Systems Control: A Neural Network or a Learning Algorithm

Dmytro Kucherov, Ihnat Myroshnychenko, Natalia Khalimon, Valerii Tkachenko
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Deepfake in Digital Business: Systematic Review of Strategies

Gabriel Silva-Atencio
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AI-Driven 5G Networks: Federated Optimization for Sustainable Telecommunications

Gabriel Silva-Atencio
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How an Author Character-based Generative AI Chatbot Can Arouse Interest in Reading: The Perspective of an Online Service?

Eunwoo Choi, Gahyeon Kim, Gyeongmi Kim, Dabin Choe, Soonkyu Jang
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Perceptions of Potentials and Risks of Artificial Intelligence Across Diverse Levels of AI-literacy

Zeba Khadhijah, Bhupesh Kumar Mishra
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Exploration of Trust and Decision-Making in AI-Augmented Military Domain: A Framework for Human–Machine Teaming

Janar Pekarev, Priit Värno
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Predictive Artificial Intelligence Models in the Early Identification of Diabetic Retinopathy

Gabriel Silva-Atencio, Edwin Acuña-Acuña, Maziar Lalezary
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Estimation of Physical Characteristics of Noisy Peach Leaves Using a Unified Algorithm

Chunxian Chen, Haixin Wang
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Step-by-Step Approach to Design Image Classifiers in AI: An Exemplary Application of the CNN Architecture for Breast Cancer Diagnosis

Ahamadullah Lohani, Bhupesh Kumar Mishra, Kenneth Y. Wertheim, Temitayo Matthew Fagbola
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Efficient Defense Against First Order Adversarial Attacks on Convolutional Neural Networks

Subah Karnine, Sadia Afrose, Hafiz Imtiaz
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Instance Segmentation for Infrastructure and Obstacle Detection in Automatic Train Operation Systems

Vladimir A. Fedorov
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Toward Resilient Communities: Integrating Predictive Flood Models with Natural Language Processing for Actionable Insights

Divas Karimanzira
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Adaptive Swin Transformer V2-Tiny Based Model for Classification of Bacteria, Fungus, Virus, and Healthy Fruit and Leaf Images

Poornima Basatti Hanuma Gowda, Basavanna Mahadevappa, Shivakumara Palaiahnakote, Muhammad Hammad Saleem, Niranjan Mallappa Hanumanthu
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Optimizing Rice Health: A Comparative Evaluation of Pretrained and Custom Convolutional Neural Networks for Disease Recognition

Aunik Hasan Mridul, Jannatul Fardus Armin, Md. Abu Saleh, Akash Das, Md. Mahidul Islam, Sujan, G. M. Shakil, Md. Abdur Rakib
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Hierarchical Brain-Inspired Deep Learning for Autonomous Decision-Making in Complex Dynamic Environments

Dhaya Ramakrishnan, Kanthavel Radhakrishnan
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DDoS Attack Detection With and Without SMOTEENN Dataset Balancing Strategy: Deep Learning Approaches

Andualem Girma, Kibreab Adane
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Smart Farming: Crop Recommendation Using Machine Learning with Challenges and Future Ideas

Devendra Dahiphale, Pratik Shinde, Koninika Patil, Vijay Dahiphale
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Evolution of Generative Adversarial Networks (GANs) in Medicine: A Systematic Review of Architectures, Applications, and Implementation Challenges

Wan Aezwani Wan Abu Bakar, Nur Laila Najwa Josdi, Mustafa Man, Evizal Abdul Kadir, Bishwajeet Kumar Pandey
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An Analytical Framework for Addressing Imbalance in Fake Review Detection Using Augmented Text and Swarm Optimized Classifier

Richa Gupta, Indu Kashyap, Vinita Jindal
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Classification of Multi-Crop Leaf Diseases in Rice, Wheat, and Bean Using a Deep Transfer Learning Approach

Md. Mahmudul Hasan, Md. Omar Faruq, Mahadi Hasan Musa, Mohammad Mamunur Rashid, Khandaker Mohammad Mohi Uddin
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Enhancing Trust and Transparency in Education Using Blockchain: A Hyperledger Fabric-Based Framework

Arvind Panwar, Urvashi Sugandh, Achin Jain, Vanita Jain, Arun Kumar Kumar Dubey, Saheli Majumdar, Saurav Mallik
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A Hybrid Metaheuristic Approach for Code Smell Refactoring Sequencing in Object-Oriented Systems

Ritika Maini, Navdeep Kaur, Amandeep Kaur
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HD-SMART: A Novel Machine Learning Framework for High-Accuracy Cardiovascular Risk Prediction Using Advanced Feature Engineering

Gitanjali Gupta, Meena Malik, Ramandeep Sandhu, Chander Prabha, Aimin Li, Saurav Mallik
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Deep Reinforcement Learning-Enabled IoT Framework for Real-Time and Personalized Diabetes Diagnosis Using Wearable Sensors

M. Alamelu, Meera Alphy, Finney Daniel Shadrach, Jayaraj Velusamy
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E2E Process Automation Leveraging Generative AI and IDP-Based Automation Agent: A Case Study on Corporate Expense Processing

Cheonsu Jeong, Seongmin Sim, Hyoyoung Cho, Sungsu Kim, Byounggwan Shin
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Anomaly Detection Utilizing PatchCore for Reimagining Industrial Visual Inspection

Shalini Kumari, Chander Prabha
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A Comparative Study of Hybrid Text Summarization Techniques Using Traditional, Static, and Contextual Word Embeddings

Lilakant Pokhrel, Sangita Pokhrel, Swathi Ganesan, Nalinda Somasiri
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Fuzzy Galactic Swarm Optimization Coupled with Superpixel-Based Microscopic Image Segmentation

Debasish Biswas, Shouvik Chakraborty, Chinmoy Ghorai
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AI-Driven Adaptive VM Placement Using Performance-to-Power Ratio for Sustainable Data Center Management

Abdelhadi Amahrouch, Youssef Saadi, Said El Kafhali
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AI Meets Academia: Exploring ChatGPT Use in Higher Education Through the Extended UTAUT Lens

Afruza Haque, Rasheda Akter Rupa, Rana Al Mosharrafa, Shaharin Akter, Abu Naser Mohammad Saif, Rehnuma Mostafa
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Are Peruvian Tertiary Students Using Artificial Intelligence in Their Academic Activities?

Mildher Ugaz-Rivero, Yulissa Navarro-Castillo, Janet Corzo-Zavaleta, Alberto Urueña
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Synthetic Data in AI: Performance Gains versus Hallucination Risk

Gabriel Silva-Atencio
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Integrated Deep Neural Networking Approach with Long Short-Term Memory (LSTM) for Bottleneck Detection in IoT Devices

Pradip M. Paithane, Ashwini S. Gavali
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Addressing Small and Imbalanced Medical Image Datasets Using Generative Models

Iman Khazrak, Shakhnoza Takhirova, Mostafa M. Rezaee, Mehrdad Yadollahi, Robert C. Green II, Shuteng Niu
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Development of Financial Strategies Using Machine Learning for Right-Tail Value at Risk Estimation

Vitaliy Makohon, Oleksandra Mandych, Tetiana Staverska, Oleksandr Horokh, Denys Zabolotny
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An Encoder–Decoder-Based Deep Learning Model for Segmenting Occlusion in the Lower Part of the Face

Mrinmoy Sadhukhan, Indrajit Bhattacharya, Paramartha Dutta, Kaushik Roy
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Quantifying AI Autonomy: A Multidimensional Framework for Agentic AI Governance and Risk Assessment

Gabriel Silva-Atencio
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Beyond Binary: Adaptive Frameworks for Autonomous AI Governance

Gabriel Silva-Atencio
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Optimal Policy Strategy for Pandemic Outbreak Control: A Deep Reinforcement Approach

Raphael Ibraimoh, Mohammed Saraee, Kaveh Kiani, Danial Saraee
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An Enhanced Traffic Matrix Prediction in Software-Defined Networks Using Bi-LSTM with Attention Mechanism

Prabu. U., Prabhala Harichandana, Manepalli Baby Kavyasri, Uppala Bhargavi, Geetha. V.
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Machine Learning-Based Theme Classification for Video Content Analysis: A Bilingual Approach on the StoryBox

Hüseyin Parmaksız, Önder Öztürk, Osman Akarsu
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International Trade Demand Forecasting Model Based on Transformer-XGBoost-LightGBM

Wenhao Wang, Zhitao Yang, Tianwen Zhao
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A Novel STCA-LightGBM-SVR Hybrid Model for Port Cargo Throughput Prediction

Tianwen Zhao, Hanyu Xu
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Curved Inference: A Guide to Geometric Interpretability

Rob Manson
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A Multi-class Obesity Risk Prediction Using Machine Learning and Explainable Artificial Intelligence

Tarequl Hasan Sakib, Mahfuzulhoq Chowdhury
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System for the Generation and Georeferenced Visualization of Agricultural Crop Datasets Using Imagro Hybrid Platform

Lucrecia Llerena, Nancy Rodríguez, Kevin Ponce
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Development of a Web Workf low Tool That Facilitates and Optimizes the Process of Preparing Scientific Articles

Lucrecia Llerena, Nancy Rodríguez, Kelvin Estrada
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The Nexus of Human and Machine: Exploring Perception as a Spur in AI-Powered Employee Training

Chanchal Molla, Khaled Islam, Md. Razib Hossain, Pronoy Kumar Paul, Md. Najibul Kabir, Abu Naser Mohammad Saif, Rehnuma Mostafa
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Risk Assessment of Large Language Model Implementation in the Electric Power Sector of Ukraine

Hryhoriy Kravtsov, Oleksandr Kravchuk, Artem Taranowski, Dmytro Sinko, Victor Samoylov
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MSA-CSpineNet: A Multi-Scale Spatial Attention Deep Learning Framework for Cervical Spine Fracture Diagnosis

Oladosu Oyebisi Oladimeji, Ayodeji Olusegun Ibitoye
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Lightweight AI for Cultural Pattern Recognition: Safeguarding South Asian Regional Embroidery Heritage

Amir Sohail Khan, Junjie Zhang
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Performance Analysis of YOLOv11-m and Related Architectures in Pediatric X-ray Fracture Detection

Muhanad Abdul Elah Alkhalisy, Qusay Shihab Hamad, Ali Retha Hasoon Khayeat, Shahrel Azmin Suandi
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Future AI Systems: Human–AI Collaborative Teams Outperform Human-Only Teams in Design Ideation

Joseph M. Makokha
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Transformer-Based Approaches in Paraphrasing Texts

Mohamed Cherradi, Hajar El Mahajer
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The Agnostic Meaning Substrate: A Theoretical Framework for Emergent Meaning in Large Language Models

Russ Palmer
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A New Method for Designing Intelligent User Interfaces Through Image Analysis to Facilitate Human Interaction

Naji Guedri, Abdessalam Guedri, Boulbaba Guedri, Rached Gharbi
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Public Discussion of DeepSeek Large Language Model on Twitter: A Mixed-Methods Sentiment and Topic Modeling

Wei Chien Ng, Shiwen Chen, Quan Kai Ang, Yu Qing Soong
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A Study on the Framework for Evaluating the Ethics and Trustworthiness of Generative AI: A Case of Generative AI Chatbot Services

Cheonsu Jeong, Seunghyun Lee, Seonhee Jeong, Sungsu Kim
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Python-Programmed Embedded ECU for Drowsiness-Responsive Dynamic Braking in Electric Vehicles

Kalaivanan Kumaran, Muhammad Nadzmi Razlan, Ahmad Safwan Abd Shukor, Mohamad Tarmizi Abu Seman
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Hybrid Method for Optimizing the Structure of Power Generation Capacities Using An Evolutionary Algorithm and An MILP Solver

Sergii Saukh, Taras Puchko
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Fine-Tuning IndoBERTa for Indonesian Digital News Sentiment Classification

Desi Masdin Dama, Tati Mardiana, Riki Supriyadi, Zico Pratama Putra, Dicky Octaviano, Achmad Bayhaqy
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Intelligent Technique for Neuromuscular Disorders Prediction Based on Stockwell Transform

Nahla F. Abdel-Maboud, Marco Alfonse, Silvia Stoyanova Parusheva, Abdel-Badeeh M. Salem
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ResProtoNet: A Skeleton-Aware Few-Shot Framework for Yoga Pose Classification

Chean Khim Toa, Kai Liang Lew, Sin Pei Ton
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Attention-Based Explainability for Cross-Lingual Neural Information Retrieval in Low-Resource Languages: A LaBSE Framework with a Bilingual Medical Context Case Study

Nasir Hamzah, Zico Pratama Putra
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Stock Market Movement Forecasting Using Machine Learning and Complex Network Measures

Andrii Bielinskyi, Vladimir Soloviev, Andriy Matviychuk, Vitalii Bezkorovainyi
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Treatment Regimen Segmentation from Handwritten Medical Prescriptions Using Advanced Neural Network

Rekha G. R., Siddesha S., V. N. Manjunath Aradhya
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Modeling the Double-Edged Effects of AI Companions on Chinese Generation Z: A Dual-Pathway Analysis of Risk and Protection

Haiyang Li, Jing Liu
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The Integration of Chatbots and AI-Powered Virtual Assistants into Customer Service Frameworks of the Banking Sector

Suren H. Parsyan, Frida F. Baharyan, Gayane A. Avagyan, Sergo A. Episkoposian, Vardan S. Aleksanyan, Ararat Kostanian, Lilik M. Beglaryan
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A New Domain-Independent Approach for Classification of Bacteria, Fungus, and Virus-Infected Fruit and Leaf Images

Poornima Basatti Hanuma Gowda, Basavanna Mahadevappa, Shivakumara Palaiahnakote, Muhammad Hammad Saleem, Niranjan Mallappa Hanumanthu
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Heuristic-Guided Selective Random Forests: Immune-Inspired Heuristic Ensembles for Robust Intrusion Detection in IoT Networks

Saad AL Azzam, Ghassan AL Dharhani, Raenu AL Kolandaisamy
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Neural Morphogenesis Architecture for Self-Organizing Robotic Intelligence: A Developmental Control Framework

Edwin Gerardo Acuña Acuña
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Adaptive Mechanisms of Foot Function and Control Induced by Dance Training

Xiangli Gao, Datao Xu, Minjun Liang, Zanni Zhang, Tianle Jie, Huiyu Zhou, Jingyi Ye, Zsolt Radak, Yaodong Gu
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A Multi-Part Attention-Guided Spatial-Temporal GCN Framework for Gait-Based Person Recognition

Md. Khaliluzzaman, Kaushik Deb
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Adaptive Footwear Stiffness Driven by Biomechanical Signals for Improving High-Intensity Metabolic-Neuromuscular Performance: A Randomized Controlled Trial

Yining Xu, Yang Song, Dong Sun, Zhiyi Zheng, Mingwei Sun, Wenlong Li, Jiachao Cai, Xuanzhen Cen, Zixiang Gao, Liangliang Xiang, Monèm Jemni, Yaodong Gu
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PV-CLIP: Synergizing Geometric Heuristics and Zero-Shot Foundation Models for Efficient Fall Recognition

Benedict Onochie Ibe, Dagogo Godwin Orifama, Gbubemi Erics, Dan Ifeanyi Ali, Ikechukwu Nwagbo Enumah, Dominic Ogbuagu
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A Novel PneumoniaNet Framework Integrating Explainable AI for Pediatric Pneumonia Detection from Chest X-rays

Shahriar Siddique Arjon, Tamanna Yasmin, Ankur Kumar Mondol, Nakib Aman, Shabbir Mahmood
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Late-Fusion Stacking of Machine Learning and Snort Signatures for Multi-Class Intrusion Detection on UNSW-NB15

Somayina C. Wen-Udeoji, Maybin K. Muyeba, Azadeh Mohammadi
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A Comprehensive Multi-Strategy Transfer Learning Framework with Knowledge Distillation for ECG Image Classification: A Multi-Dataset Validation Study

Md. Rahat, Rahat Hossain Faisal, Khondoker Razinul Karim, Md. Minhaj Ul Islam, Md. Zahid Akon
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Transformer Attention-Driven Concept Extraction for Efficient Smishing Detection

Zahriya Lawal Hassan, Nor Fazlida Mohd Sani, Muhammad Daniel Hafiz Abdullah, Norwati Mustapha
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Privacy Budgets That Work: Client-Level Differential Privacy with Robust Aggregation for IIoT Intrusion Detection

Mahavir Teraiya, Madhu Shukla
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Analysis of Organizational Barriers to Collaborative Teaching of Information Literacy in Libraries in Chinese Higher Education Institutions (HEIs)

Shanfang Qin, Ap-azli Bunawan, Nor Erlissa Abd Aziz
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Operationalising Consulting Methodology Through Workflow Orchestration: A Design Science Study of CWORT with Governed Agentic AI Support

Oluwaseun Iyiola
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Examining the Factors Affecting Vocational and Technical College Students' Acceptance of Automated Written Corrective Feedback: A TAM-Based Quasi-Experimental Approach

Xiaomin Deng, Supyan Hussin, Nur Ainil Sulaiman
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A New Hybrid Wavelet Decomposition-based Networks for Script Identification in Scene Images

Shivakumara Palaiahnakote, Umapada Pal, Taha Mansouri
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Preterm Birth Prediction Using an Explainable Machine Learning Approach

Ahmad Hassan, Saba Nawaz, Sidra Tahira, Arslan Ahmed
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PersonaG: A Quinpartite Graph Convolutional Network for Interpretable Personality Recognition from Text

Mohmad Azhar Teli, Manzoor Ahmad Chachoo
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An Attention-Based Fusion of ResNet50 and InceptionV3 Model for Water Meter Digit Recognition

Lama Alkhaled, Ayush Roy, Shivakumara Palaiahnakote
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