Optimization Techniques for Physician Scheduling Problem: A Systematic Review of Recent Advancements and Future Directions by Norizal Abdullah, Masri Ayob, Meng Chun Lam, Nasser R. Sabar, Graham Kendall, Mohamad Khairulamirin Md Razali

Get full text

Lightweight Encryption Technique to Enhance Medical Image Security on Internet of Medical Things Applications by Mohammad Kamrul Hasan, Shayla Islam, Rossilawati Sulaiman, Sheroz Khan, Aisha-Hassan Abdalla Hashim, Shabana Habib, Mohammad Islam, Saleh Alyahya, Musse Mohamed Ahmed, Samar Kamil, Md Arif Hassan

Get full text

Pendeteksi Citra Masker Wajah Menggunakan CNN dan Transfer Learning by Mohammad Farid Naufal, Selvia Ferdiana Kusuma

“…Computer vision is a branch of computer science that can be used for image classification. …”
Get full text

A real-time 3D modeling method for buildings driven by IMU and RGB-D fusion by Yuhan Gao, Chao Dang, Jun Zhu, Yakun Xie, Ya Hu, Chunli Yan, Kun Yi, Chuan Yi, Xue Li

“…However, 3D reconstruction faces challenges such as redundant data acquisition, inaccurate pose estimation, and insufficient reconstruction precision, making it difficult to support rapid visualization and measurement analysis. …”
Get full text

PCA-based denoising and automatic recognition of marine biological sounds to estimate Bio-voice Count Index for marine monitoring by Bingjia Huang, Yi Wu, Yihua Lyu, Xi Yan, Mengmeng Tong, Xiaoping Wang

“…To address this, we present two novel computational workflows: (1) a Principal Component Analysis (PCA)-driven noise reduction algorithm that selectively suppresses anthropogenic noise (e.g., vessel sounds) overlapping with biological frequency bands; and (2) an automatic Bio-voice Count Index (BCI) that quantifies target biological sounds through energy thresholding and adjustable frequency-weighting curve. …”
Get full text

Roads Infrastructure Digital Twin: Advancing Situational Awareness Through Bandwidth-Aware 360° Video Streaming and Multi-View Clustering by Oussama El Marai, Sotirios Messinis, Nikolaos Doulamis, Tarik Taleb, Jukka Manner

Get full text

Self-Powered Multimodal Tactile Sensing Enabled by Hybrid Triboelectric and Magnetoelastic Mechanisms by Xiao Lu, Tianhong Wang, Songyi Zhong, Tianqi Cao, Chenghao Zhou, Long Li, Quan Zhang, Shiwei Tian, Tao Jin, Tao Yue, Shaorong Xie

Get full text

Practical Recommendations for Artificial Intelligence and Machine Learning in Antimicrobial Stewardship for Africa by Tafadzwa Dzinamarira, Elliot Mbunge, Claire Steiner, Enos Moyo, Adewale Akinjeji, Kaunda Yamba, Loveday Mwila, Claude Mambo Muvunyi

“…However, successfully integrating these technologies into Africa's health systems faces considerable obstacles, including limited human capacity and expertise, widespread public distrust, insufficient funding, inadequate infrastructure, fragmented data sources, and weak regulatory and policy enforcement. …”
Get full text

Professional competence of the person in the Smart-society by Nina V. Komleva

“…Now, there are processes of formation of a knowledge society – the Smart-society – are all the new features, which are characterized by obtaining a new effect from the use of information and communication technologies. The development of computers and communications creates the preconditions for moving the place of work out of the office space in the digital home. …”
Get full text

Private Data Incrementalization: Data-Centric Model Development for Clinical Liver Segmentation by Stephanie Batista, Miguel Couceiro, Ricardo Filipe, Paulo Rachinhas, Jorge Isidoro, Inês Domingues

“…However, these models often face challenges in adapting to diverse clinical data sources as differences in dataset volume, resolution, and origin impact generalization and performance. …”
Get full text

Cloud Survivability Scenarios Under Attacks With and Without Countermeasures by Rachid Beghdad, Faiza Benmenzer, Alaa Eddine Khalfoune

“…Background: Despite its increasing importance, cloud computing is vulnerable to Distributed Denial of Service (DDoS) attacks, affecting data centre availability and functionality. …”
Get full text

Failure mechanism-driven multi-adversarial domain transfer learning for rolling bearing fault diagnosis by Zhihui Zhang, Zhidan Zhong, Zhe Li, Wentao Mao, Yunhao Cui

Get full text

A Meta-Learning-Based Ensemble Model for Explainable Alzheimer’s Disease Diagnosis by Fatima Hasan Al-bakri, Wan Mohd Yaakob Wan Bejuri, Mohamed Nasser Al-Andoli, Raja Rina Raja Ikram, Hui Min Khor, Zulkifli Tahir, The Alzheimer’s Disease Neuroimaging Initiative

Get full text

Underwater image dehazing using a hybrid GAN with bottleneck attention and improved Retinex-based optimization by Amandeep Kaur, Shalli Rani, Mohammad Shabaz

Get full text

Intrusion detection system based on machine learning using least square support vector machine by Pratik Waghmode, Manideep Kanumuri, Hosam El-Ocla, Tanner Boyle

Get full text

Advanced data-driven techniques in AI for predicting lithium-ion battery remaining useful life: a comprehensive review by Sijing Wang, Ruoyu Zhou, Yijia Ren, Meiyuan Jiao, Honglai Liu, Cheng Lian

“…Additionally, the article identifies major challenges faced by current predictive techniques, including data quality, model generalization capabilities, and computational cost, highlighting the need for research focused on dataset diversity, multiple algorithm fusion, and hybrid physical-data-driven models to enhance prediction accuracy. …”
Get full text

Precision Weed Control Using Unmanned Aerial Vehicles and Robots: Assessing Feasibility, Bottlenecks, and Recommendations for Scaling by Shanmugam Vijayakumar, Palanisamy Shanmugapriya, Pasoubady Saravanane, Thanakkan Ramesh, Varunseelan Murugaiyan, Selvaraj Ilakkiya

“…This review revealed that AI-driven weed mapping in robots and UAVs struggles with data (quality, diversity, bias) and technical (computation, deployment, cost) barriers. Improved data (collection, processing, synthesis, bias mitigation) and efficient, affordable technology (edge/hybrid computing, lightweight algorithms, centralized computing resources, energy-efficient hardware) are required to improve AI-driven weed mapping adoption. …”
Get full text

Tomato Leaf Disease Identification Framework FCMNet Based on Multimodal Fusion by Siming Deng, Jiale Zhu, Yang Hu, Mingfang He, Yonglin Xia

Get full text

Multiple objectives escaping bird search optimization and its application in stock market prediction based on transformer model by Dedai Wei, Zimo Wang, Minyu Qiu, Juntao Yu, Jiaquan Yu, Yurun Jin, Xinye Sha, Kaichen Ouyang

Get full text

Secure and fast mobility handover scheme for IoMT in 5 G and future 6 G networks by Shayla Islam, S.M. Topazal, Mohammad Kamrul Hasan, Raenu AL Kolandaisamy, Huda Saleh Abbas, Nguyen Vo, Rahul Thakkar, Muhammad Attique Khan, Deepak Gupta, Dina Abdulaziz AlHammadi

Get full text