An Empirical Study of Different Approaches for Protein Classification by Loris Nanni, Alessandra Lumini, Sheryl Brahnam

Get full text

Performance Evaluation of YOLOv11 and YOLOv12 Deep Learning Architectures for Automated Detection and Classification of Immature Macauba (<i>Acrocomia aculeata</i>) Fruits by David Ribeiro, Dennis Tavares, Eduardo Tiradentes, Fabio Santos, Demostenes Rodriguez

“…The public release of the VIC01 dataset and trained weights ensures reproducibility and supports future research. Our results underscore the importance of selecting architectures based on application-specific requirements, balancing detection accuracy, background discrimination, and computational constraints. …”
Get full text

IoT enabled health monitoring system using rider optimization algorithm and joint process estimation by J. Prabin Jose, G. Jaffino, Mohammed Al Awadh, Koppula Srinivas Rao, Yan Yafang, Krishna Moorthy Sivalingam

Get full text

Exploring the future of privacy-preserving heart disease prediction: a fully homomorphic encryption-driven logistic regression approach by Vankamamidi S. Naresh, Sivaranjani Reddi

“…The study’s design involved applying the HELR model to three healthcare datasets and comparing its performance with Support Vector Machines (SVM). …”
Get full text

Application of machine learning techniques for churn prediction in the telecom business by Raji Krishna, D. Jayanthi, D.S. Shylu Sam, K. Kavitha, Naveen Kumar Maurya, T. Benil

Get full text

SCGAN-enhanced surrogate modeling for FEM analysis of induction motors: A practical use case by Unai Salaberria-Flaño, Antonio Nappa, Arkaitz Artetxe, Gurutz Artetxe, Iñaki Inza

“…Surrogate modeling is a powerful approach for industrial applications that provides data-driven approximations of complex physical or numerical simulators in exchange for minimal computational cost. In this context, Multi-fidelity frameworks enable the fusion of distinct data sources and varying levels of resolution. …”
Get full text

Latency and energy-efficient multi-hop routing protocol for unmanned aerial vehicle networks by Abdelhamied A Ateya, Ammar Muthanna, Irina Gudkova, Yuliya Gaidamaka, Abeer D Algarni

Get full text

Privacy and Security in the Metaverse: Trends, Challenges, and Future Directions by Jagdeep Singh, Parminder Singh, Ranjodh Kaur, Avinash Kaur, Mustapha Hedabou

Get full text

Applying improved particle swarm optimization for dynamic service composition focusing on quality of service evaluations under hybrid networks by Honghao Gao, Kang Zhang, Jianhua Yang, Fangguo Wu, Hongsheng Liu

“…First, this work classifies hybrid services into different task groups to generate candidate sets and then interface matching is used to compare the operations of candidate services with user requirements to select the appropriate services. …”
Get full text

Neural Personalized Ranking via Poisson Factor Model for Item Recommendation by Yonghong Yu, Li Zhang, Can Wang, Rong Gao, Weibin Zhao, Jing Jiang

Get full text

Multi-Class Skin Cancer Classification Using a Hybrid Dynamic Salp Swarm Algorithm and Weighted Extreme Learning Machines with Transfer Learning by Ramya Panneerselvam, Sathiyabhama Balasubramaniam

Get full text

Design and fabrication of customized brain slice matrices using CAD and 3D printing technology. by Yosuke Yamazaki, Maki Yuguchi, Bin Honjo, Keitaro Isokawa

“…This study presents a novel method for creating customized brain slice matrices using Computer-Aided Design (CAD) and 3D printing technology. …”
Get full text

Developing a Transparent Anaemia Prediction Model Empowered With Explainable Artificial Intelligence by Muhammad Sajid Farooq, Muhammad Hassan Ghulam Muhammad, Oualid Ali, Zahid Zeeshan, Muhammad Saleem, Munir Ahmad, Sagheer Abbas, Muhammad Adnan Khan, Taher M. Ghazal

Get full text

THE COLLABORATIVE DESIGNING OF A PERSONALIZED HYBRID LMS USING A VIRTUAL MACHINE IN A CLOUD ENVIRONMENT by Lina Čeponienė, Péter Galambos, Tamás Haidegger, Dariusz Mikulowski, Branislav Mišota, Oliver Moravcik, Enikő Nagy, Mariya P. Shyshkina, Pavel Smolka, Stefan Svetsky

“…The authors offer their own approach to solving the problem of processing educational information to support a virtual team's work. As part of collaborative research in the field of technology-enhanced education and e-Learning design, the international team in the V4 EDUPORT project is implementing a personalized hybrid system on the IT infrastructure consisting of a specially designed desktop application WPad or web application (PIKS) and a common shared remote computer (virtual computer on a cloud server with Windows 2022). …”
Get full text

LLM-Based Response Generation for Korean Adolescents: A Study Using the NAVER Knowledge iN Q&A Dataset with RAG by Junseo Kim, Seok Jun Kim, Junseok Ahn, Suehyun Lee

Get full text

An attention based hybrid approach using CNN and BiLSTM for improved skin lesion classification by Ayesha Shaik, Shivanya Shomir Dutta, Ishaan Milind Sawant, Shreyas Kumar, Ananthakrishnan Balasundaram, Kanjar De

Get full text

Unmanned aerial vehicle based multi-person detection via deep neural network models by Mohammed Alshehri, Laiba Zahoor, Yahya AlQahtani, Abdulmonem Alshahrani, Dina Abdulaziz AlHammadi, Ahmad Jalal, Ahmad Jalal, Hui Liu, Hui Liu, Hui Liu

Get full text

Optimizing Group Multi-Factor Authentication for Secure and Efficient IoT Device Communications by Salem AlJanah, Ning Zhang, Siok Wah Tay

“…The communication and computation overheads of the protocols are also analyzed and compared with those of IoT group authentication solutions and Kerberos. …”
Get full text

A Unified Machine Learning Framework for Li-Ion Battery State Estimation and Prediction by Afroditi Fouka, Alexandros Bousdekis, Katerina Lepenioti, Gregoris Mentzas

Get full text

Modeling interpersonal perception in dyadic interactions: towards robot-assisted social mediation in the real world by Hifza Javed, Weinan Wang, Weinan Wang, Affan Bin Usman, Nawid Jamali

“…We discuss implications for real-world deployment and highlight the limitations of current work. Our work represents a step towards developing computational models of relational affect tailored for real-world social mediation, offering insights into effective mediation strategies for social mediator robots.…”
Get full text