Network intrusion detection model using wrapper based feature selection and multi head attention transformers by Muhammad Umer, Muhammad Tahir, Muhammad Sardaraz, Muhammad Sharif, Hela Elmannai, Abeer D. Algarni

“…Due to the increase in data, the diverse nature of devices, and the types of attacks, standard security systems find it difficult to tackle these attacks. Many researchers have worked to address the problem of intrusion detection in networks. …”
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INTELLIGENT MATCHING TECHNIQUE FOR FLEXIBLE ANTENNAS by Olena Semenova, Andriy Semenov, Stefan Meulesteen, Natalia Kryvinska, Hanna Pastushenko

“…The utilization of artificial neural networks for the design of flexible antennas enables researchers to expand the design space, optimize antenna characteristics with greater efficiency, and identify innovative solutions that may not be apparent through traditional design methods. …”
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Comprehensive Fault Diagnosis of Three-Phase Induction Motors Using Synchronized Multi-Sensor Data Collection by Kevin Thomas, Ahasanur Rahman, Wesam Rohouma, Md. Faysal Ahamed, Fariya Bintay Shafi, Md. Nahiduzzaman, Amith Khandakar

“…The dataset is publicly available and aims to support researchers in advancing machine learning approaches for motor health monitoring.…”
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From Code to Life: The AI‐Driven Revolution in Genome Editing by Zhidong Li, Wasi Ullah Khan, Genxiang Bai, Chao Dong, Jungang Wang, Youpeng Zhang, Chong Wang, Hongbin Zhang, Wenyi Wang, Ming Luo, Fei Chen

“…Addressing these challenges requires interdisciplinary collaboration between AI researchers, molecular biologists, and policymakers. …”
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Nonreciprocal surface plasmonic neural network for decoupled bidirectional analogue computing by Xiaomeng Li, Haochen Yang, Enzong Wu, Xincheng Yao, Ying Li, Fei Gao, Hongsheng Chen, Zuojia Wang

“…Abstract To address the burgeoning demand for computing capacity in artificial intelligence, researchers have explored optical neural networks that show advantages of ultrafast speed, low power consumption, ultra-high bandwidth, and high parallelism. …”
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Measurement Approaches and Implementation of a Fading Characterization Tester for Evaluating Optical Turbulent Channels by Yatian Li, Tianwen Geng, Xueliang Li, Ye Wang, Shijie Gao

“…Thus we propose the algorithms for measuring the outage and synchronization performance, bit error rate (BER), throughput, and fading statistics. …”
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Advances in Skeleton-Based Fall Detection in RGB Videos: From Handcrafted to Deep Learning Approaches by Van-Ha Hoang, Jong Weon Lee, Md. Jalil Piran, Chun-Su Park

“…To overcome these challenges, many researchers propose extracting skeleton data from RGB videos and using it for fall detection. …”
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Stain Normalization of Histopathological Images Based on Deep Learning: A Review by Chuanyun Xu, Yisha Sun, Yang Zhang, Tianqi Liu, Xiao Wang, Die Hu, Shuaiye Huang, Junjie Li, Fanghong Zhang, Gang Li

“…However, color variations caused by differences in tissue preparation and scanning devices can lead to data distribution discrepancies, adversely affecting the performance of downstream algorithms in tasks like classification, segmentation, and detection. …”
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Machine learning applied to the design and optimization of polymeric materials: A review by Sudarsan M. Pai, Karim A. Shah, Sruthi Sunder, Rodrigo Q. Albuquerque, Christian Brütting, Holger Ruckdäschel

“…Machine learning (ML) offers a promising solution to this issue. By leveraging ML algorithms, researchers can accelerate the design process, predict material properties more rapidly, and optimize formulations. …”
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Prediction of moment improvement in UHPC strengthened damaged RC beams based on data augmented machine learning by Weidong Xu, Decheng Ji, Yong Yu, Xianying Shi

“…The aim of this study is to develop a reliable model that can precisely predict Mu. Initially, the researchers gathered 173 datasets from experimental studies. …”
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Wearable Medical Devices: Application Status and Prospects by Xiaowen Wang, Yingnan Gao, Yueze Yuan, Yaping Wang, Anqin Liu, Sen Jia, Wenguang Yang

“…E-skin integrates multiple sensors and intelligent algorithms to automatically analyze data and provide health advice and early warning. …”
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QPPLab: A generally applicable software package for detecting, analyzing, and visualizing large-scale quasiperiodic spatiotemporal patterns (QPPs) of brain activity by Nan Xu, Behnaz Yousefi, Nmachi Anumba, Theodore J. LaGrow, Xiaodi Zhang, Shella Keilholz

“…QPPLab integrates correlation-based iterative algorithms, supports customizable parameter settings, and features automated workflows to simplify analysis. …”
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Exploring Protein Conformational Changes Using a Large‐Scale Biophysical Sampling Augmented Deep Learning Strategy by Yao Hu, Hao Yang, Mingwei Li, Zhicheng Zhong, Yongqi Zhou, Fang Bai, Qian Wang

“…Abstract Inspired by the success of deep learning in predicting static protein structures, researchers are now actively exploring other deep learning algorithms aimed at predicting the conformational changes of proteins. …”
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Identification of Vehicle Logos in Deep Learning: A Comprehensive Survey by Mustafa Noaman Kadhim, Ammar Hussein Mutlag, Dalal Abdulmohsin Hammood, Nurulisma Binti Hj. Ismail

“…The survey concludes by delineating anticipated challenges and proposing future directions, thereby presenting a roadmap for researchers and practitioners seeking to advance logo detection using deep learning techniques. …”
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Free Vibration Analysis of Moderately Thick Rectangular Plates with Variable Thickness and Arbitrary Boundary Conditions by Dongyan Shi, Qingshan Wang, Xianjie Shi, Fuzhen Pang

“…The effectiveness and reliability of the presented solution are demonstrated by comparing the present results with those results published in the literatures and finite element method (FEM) data, and numerous new results for moderately thick rectangular plates with nonuniform thickness and elastic restraints are presented, which may serve as benchmark solution for future researches.…”
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Optimizing Bi-LSTM networks for improved lung cancer detection accuracy. by Su Diao, Yajie Wan, Danyi Huang, Shijia Huang, Touseef Sadiq, Mohammad Shahbaz Khan, Lal Hussain, Badr S Alkahtani, Tehseen Mazhar

“…To address this critical health challenge, researchers have developed computer-aided diagnosis (CAD) systems that rely on feature extraction from medical images. …”
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Variational Approach for Learning Community Structures by Jun Jin Choong, Xin Liu, Tsuyoshi Murata

“…In domains such as biology, chemistry, and physics, researchers often rely on community detection algorithms to uncover community structures from complex systems yet no unified definition of community structure exists. …”
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A review of flexible robotic gripping systems by Bahadir Tarhan, Seemal Asif, Phil Webb, Marco Chacin

“…Through this exploration, the paper seeks to equip designers, engineers, and researchers with the insights needed to innovate and advance the field of robotic gripping systems.…”
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Enactivism, Health, AI, and Non-Neurotypical Individuals: Toward Contextualized, Personalized, and Ethically Grounded Interventions by Jordi Vallverdú

“…Despite their promise, practical adoption of AI technologies in real-world clinical practice remains limited, and persistent challenges such as algorithmic bias, privacy concerns, and the tendency to overlook subjective dimensions raise cautionary notes. …”
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Flow Improvement in Evacuation Planning with Budget Constrained Switching Costs by Ram Chandra Dhungana, Tanka Nath Dhamala

“…Many large-scale natural and human-created disasters have drawn the attention of researchers towards the solutions of evacuation planning problems and their applications. …”
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