EEG-Based Emotion Detection Using Roberts Similarity and PSO Feature Selection by Mustafa Hussein Mohammed, Mustafa Noaman Kadhim, Dhiah Al-Shammary, Ayman Ibaida

“…Evaluation on an EEG brainwave dataset demonstrated that the method achieved an accuracy of 98.75% with feature selection, compared to 94.04% without it in emotional state detection. …”
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Generative Adversarial and Transformer Network Synergy for Robust Intrusion Detection in IoT Environments by Pardis Sadatian Moghaddam, Ali Vaziri, Sarvenaz Sadat Khatami, Francisco Hernando-Gallego, Diego Martín

“…Traditional detection methods often fall short in identifying multi-class attacks, particularly in the presence of high-dimensional and imbalanced IoT traffic. …”
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Developing and Implementing an Artificial Intelligence (AI)-Driven System For Electricity Theft Detection by Nwamaka Georgenia Ezeji, Kingsley Ifeanyi Chibueze, Nnenna Harmony Nwobodo-Nzeribe

“… Electricity theft is a significant challenge for utility companies worldwide, leading to substantial economic losses and inefficiencies in power distribution. Traditional methods of detecting electricity theft, such as manual inspections and routine audits, are often inefficient and ineffective. …”
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Leveraging explainable artificial intelligence for early detection and mitigation of cyber threat in large-scale network environments by G. Nalinipriya, S. Rama Sree, K. Radhika, E. Laxmi Lydia, Faten Khalid Karim, Mohamad Khairi Ishak, Samih M. Mostafa

“…Machine learning (ML) plays a crucial role in cybersecurity by making malware detection more scalable, efficient, and automated, reducing reliance on conventional human intervention methods. …”
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Prediction of BRAF and TERT status in PTCs by machine learning-based ultrasound radiomics methods: A multicenter study by Hui Shi, Ke Ding, Xue Ting Yang, Ting Fan Wu, Jia Yi Zheng, Li Fan Wang, Bo Yang Zhou, Li Ping Sun, Yi Feng Zhang, Chong Ke Zhao, Hui Xiong Xu

“…Purpose: To investigate the predictive value of the machine learning (ML)-based ultrasound (US) radiomics approaches for BRAF V600E and TERT promoter status (individually and coexistence) in PTC. Methods: This multicenter study retrospectively collected data of 1076 PTC patients underwent genetic testing detection for BRAF V600E and TERT promoter between March 2016 and December 2021. …”
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Dairy Chain Safety in the Context of Antibiotic Residues—Current Status of Confirmatory Liquid Chromatography Methods: A Review by Sandra Dluhošová, Klára Bartáková, Lenka Vorlová, Pavlína Navrátilová, Oto Hanuš, Eva Samková

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The eco-friendly spectrophotometric methods for duloxetine and amitriptyline quantification using eosin Y: content uniformity and greenness evaluation by Al Amir S. Zaafan, Hadeer A. Elhamdy

“…The proposed method is highly green as water was used as the solvent. …”
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Prediction of weld quality in laser welding of hardmetal and steel using high-speed imaging and machine learning methods by Mohammadhossein Norouzian, Mahan Khakpour, Marko Orosnjak, Atal Anil Kumar, Slawomir Kedziora

“…In addition, a continuous process monitoring method like High-Speed Imaging (HSI) is essential in real industrial applications to maintain stability and detect potential defects. …”
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Regression Analysis of Heat Release Rate for Box-Type Power Bank Based on Experimental and Machine Learning Methods by Shihan Luo, Hua Chen, Xiaobing Mao, Wenbing Zhu, Yuanyi Xie, Wenbin Wei, Mengmeng Jiang, Chenyang Zhang, Chaozhe Jiang

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Comparative analysis of RAD-seq methods for SNP discovery and genetic diversity assessment in oil seed crop safflower by Pooja Pathania, Gaddam Prasanna Kumar, Nishu Gupta, R. Parimalan, J. Radhamani, Rajesh Kumar, Sunil Shriram Gomashe, Palchamy Kadirvel, S. Rajkumar

“…This study aimed to optimize genotyping-by-sequencing (GBS) for safflower via in silico and in vitro methods with two restriction site-associated DNA sequencing (RAD-seq) approaches, i.e., single restriction site-associated DNA sequencing (sdRAD-seq) and double-digest RAD sequencing (ddRAD-seq) and three restriction enzyme combinations (ApeKI, NlaIII_Msel, and EcoRI_Msel). …”
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Novel machine learning paradigms-enabled methods for smart building operations in data-challenging contexts: Progress and perspectives by Fan Cheng, Lei Yutian, Mo Jinhan, Wang Huilong, Wu Qiuting, Cai Jiena

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Computer Vision With Explainable Artificial Intelligence for Visual Pollution Detection in the Kingdom of Saudi Arabia by Alanoud Al Mazroa, Mohammed Maray, Abdullah M. Alashjaee, Faiz Abdullah Alotaibi, Ahmad A. Alzahrani, Abdulwhab Alkharashi, Shoayee Dlaim Alotaibi, Mrim M. Alnfiai

“…Building automated pollutants or pollution detection methods became progressively popular owing to the present growth of improved artificial intelligence methods. …”
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Optimized Wavelet Transform for the Development of an Algorithm Designed for the Analysis of Digital Substation Electrical Equipment Parameters by Alexander S. Efimov, Stanislav A. Eroshenko, Pavel V. Matrenin, Vladislav V. Popovtsev

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Effectiveness and optimization of bidirectional long short-term memory (BiLSTM) based fast detection of deep fake face videos for real-time applications by Haoxiang Wang

“…This study proposes a rapid detection method for deepfake face videos designed for real-time applications using bidirectional long short-term memory (BiLSTM) networks. …”
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Study on Electric Power Fittings Identification Method for Snake Inspection Robot Based on Non-Contact Inductive Coils by Zhiyong Yang, Jianguo Liu, Shengze Yang, Changjin Zhang

“…Then, the concept of condition number and singular value decomposition (SVD) are introduced to analyse the impact of detection position on classification accuracy, with optimal detection positions found using the particle swarm optimization algorithm. …”
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Developing and validating a rapid, quantitative, and spectrophotometric analytical method for determining promethazine hydrochloride in its pure and pharmaceutical forms by Marwan Thaer Jalal

“…The present study intends to develop a simple method centered on the (OCR) Oxidative Coupling Reaction to estimate PZH in pharmaceutical preparations. …”
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A Survey on Video Compression Optimization Techniques for Accuracy Enhancement in Video Analytics Applications (VAPs) by Kholidiyah Masykuroh, Hendrawan, Eueung Mulyana, Farhan Krishna

“…However, the efficiency of these applications depends on optimizing video compression parameters to maintain high detection accuracy while minimizing bandwidth usage and computational costs. …”
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A Deep Learning Inversion Method for Airborne Time-Domain Electromagnetic Data Using Convolutional Neural Network by Xiaodong Yu, Peng Zhang, Xi Yu

“…Conventional optimal inversion and fast imaging methods still take a long time to obtain conductivity and depth information, which affect the efficiency of real-time data interpretation. …”
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Research on automatic identification method for pipeline girth weld defects based on X-ray images and sparse representation by Shaohui JIA, Yaping LI, Weixin GAO, Yunchao PENG, Xinjian ZHANG, Yuxia WANG

“…To facilitate judgments with sparse coefficient vectors, coefficient vectors were solved by 0-norm optimization. In addition, the inclusion of a smooth and differentiable function with 0-1 penalty terms made it possible to solve 0-norm optimization using a penalty function method. …”
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Green metric-based RP-HPLC method development and validation with force degradation study of neratinib using QbD approach by Sanjay Sawant, Jyoti Tangde

“…A three-level, two-factorial design has been used for method optimization, while a two-factorial, two-level design was used for the force degradation study using design expert software. …”
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