Enhancing pediatric distal radius fracture detection: optimizing YOLOv8 with advanced AI and machine learning techniques by Farid Amirouche, Aashik Mathew Prosper, Majd Mzeihem

“…Methods We enhanced the YOLOv8-AM model to improve pediatric wrist fracture detection, maintaining the YOLOv8 backbone while integrating attention mechanisms such as the Convolutional Block Attention Module (CBAM) and the Global Context (GC) block. …”
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Advancements and Challenges in Video-Based Deception Detection: A Systematic Literature Review of Datasets, Modalities, and Methods by Yeni Dwi Rahayu, Chastine Fatichah, Anny Yuniarti, Yusti Probowati Rahayu

“…This systematic literature review (SLR) aims to provide a comprehensive analysis of video-based deception detection research, with five distinct contributions: 1) an unprecedented analysis of 21 datasets, revealing critical gaps and opportunities in data resources; 2) a novel evaluation framework for assessing dataset quality and ecological validity; 3) a systematic comparison of multimodal integration approaches, identifying optimal strategies for combining visual, audio, and textual cues; 4) a critical examination of temporal modeling techniques for capturing the dynamic nature of deceptive behavior; and 5) a roadmap for addressing ethical challenges in deployment. …”
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Optimizing UAV performance with IoT and fuzzy linear fractional transportation models by Samaher Al-Janabi, Nawras G. Seyhood

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OPTIMIZATION OF DENATURATION TEMPERATURE AND TIME USING REAL-TIME PCR METHOD IN HEPATITIS B TEST by Tanti Yulia Dewi, Fusvita Merdekawati, Ai Djuminar, Yogi Khoirul Abror

“…The real-time PCR method requires optimization to obtain optimal results. …”
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An effectiveness of deep learning with fox optimizer-based feature selection model for securing cyberattack detection in IoT environments by Mimouna Abdullah Alkhonaini

“…This paper presents a Fox Optimizer-Based Feature Selection with Deep Learning for Securing Cyberattack Detection (FOFSDL-SCD) model. …”
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Efficient Vehicle Detection and Optimization in Multi-Graph Mode Considering Multi-Section Tracking Based on Geographic Similarity by Yue Chen, Jian Lu

“…Based on this, we propose an efficient method for vehicle detection in multi-graph mode and optimization method considering multi-section tracking based on geographic similarity. …”
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Hybrid Harris hawks-optimized random forest model for detecting multi-element geochemical anomalies related to mineralization by Hamid Sabbaghi, Nader Fathianpour

“…In this study, Harris hawks optimization (HHO) algorithm was employed to optimize known hyperparameters of the random forest (RF) method for detecting multi-element geochemical anomalies related to mineralization occurrences in the Feyzabad district of the Razavi Khorasan province, NE Iran. …”
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Fractal and chaotic map-enhanced grey wolf optimization for robust fire detection in deep convolutional neural networks by Yassine Bouteraa, Mohammad Khishe

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AdaLine: Adaptive Counting Line Optimization by Perspective-Aware Trajectory Modeling in Object-Detection-Tracking Systems by Wenhao Huang, Yin Chen, Jin Nakazawa, Tadashi Okoshi

“…The combination of object detection, tracking, and counting has become a widely used method. …”
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Utilizing Enhanced Particle Swarm Optimization for Feature Selection in Gender-Emotion Detection From English Speech Signals by Ammar Amjad, Li-Chia Tai, Hsien-Tsung Chang

“…This study introduces a novel approach, Dynamic Gender-Aware Enhanced Binary Particle Swarm Optimization (DGA-EBPSO), that leverages a gender-specific particle swarm optimization (PSO) technique for feature selection to enhance SER accuracy while promoting interpretability. …”
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Optimizing Cancer Detection: Swarm Algorithms Combined with Deep Learning in Colon and Lung Cancer using Biomedical Images by HariKrishna Pathipati, Lova Naga Babu Ramisetti, Desidi Narsimha Reddy, Swetha Pesaru, Mashetty Balakrishna, Thota Anitha

“…This research presents an Optimizing Cancer Detection using whale optimizer with Deep Learning in Colon and Lung Cancer (OCDWO-DLCLC) model on Biomedical Images. …”
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Therapeutic drug monitoring and neutralizing anti-drug antibody detection to optimize TNF-alpha inhibitor treatment for uveitis by Howard C. Chen, Jenny Shunyakova, Amit K. Reddy, Srujay Pandiri, Lynn Hassman

“…Here, we investigated the use of therapeutic drug monitoring and neutralizing anti-drug antibody detection as a strategy to optimize tumor necrosis factor (TNF)-alpha inhibitor treatment in patients who have a suboptimal response to the initial dosing of adalimumab.MethodRetrospective cohort study performed in two tertiary referral uveitis services in the United States between 2015 to 2023. …”
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Optimized methods for the targeted surveillance of extended-spectrum beta-lactamase-producing Escherichia coli in human stool by Sarah Gallichan, Sally Forrest, Esther Picton-Barlow, Claudia McKeown, Maria Moore, Eva Heinz, Nicholas A. Feasey, Joseph M. Lewis, Fabrice E. Graf

“…In this study, we compared different laboratory methods to see which worked best for detecting extended-spectrum beta-lactamase (ESBL)-producing E. coli, a common cause of urinary tract or bloodstream infections, from human stool samples. …”
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Enhancing credit card fraud detection: the impact of oversampling rates and ensemble methods with diverse feature selection by Mohamed Akouhar, Abdallah Abarda, Mohamed El Fatini, Mohamed Ouhssini

“…The subject matter of this article is enhancing credit card fraud detection systems by exploring the impact of oversampling rates and ensemble methods with diverse feature selection techniques. …”
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Cutting-Edge Phishing Detection Using Novel Features and Hybrid Machine Learning Techniques by Jin Zhang

“…It leverages advanced association and classification information mining techniques to develop a robust and efficient detection method. The proposed calculations identified key components and rules required for classifying phishing websites and understanding the relationships among them. …”
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Modified planar sensors for the separate detection of certain cephalosporin antibiotics by Kulapina, Elena Grigorievna, Mursalov, Ruslan K., Kulapina, Olga Ivanovna

“…The standard errors of calibration and prediction are estimated, on the basis of which the optimal number of latent variables for these methods is selected. …”
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A rapid and accurate method for Helicobacter pylori detection via integrating LAMP assay with CRISPR/Cas12b detection by one-step in one-pot by Yeqian Zhang, Tao Liu, Puhua Zhang, Bo Ni, Xingang Wang, Long Bai, Wei Sun, Yujing Guan, Xiang Xia, Hui Cao, Jiayi Gu

“…There is a pressing need for a rapid, cost-effective, and user-friendly diagnostic platform for HP detection, particularly in point-of-care settings.MethodsWe developed an integrated detection platform combining loop-mediated isothermal amplification (LAMP) with the CRISPR/Cas12b system in a single, one-step, one-pot reaction. …”
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Study on the effect of pulsed eddy current lift-off characteristics for feeding metallic foreign objects detection in coal mine crushers by Benchang Meng, Zezheng Zhuang, Jiahao Ma, Sihai Zhao

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ABNORMAL UTERINE BLEEDING (AUB) – MODERN POSSIBILITIES OF OPTIMIZATION OF TACTICS OF TREATMENT by Yu. Yu. Tabakman, A. G. Solopova, A. Kh. Bishtavi, S. O. Smirnova, A. A. Kocharian

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Performance of digital filtering and synchronization method for APD communication receiver by Hui-Jun Zhang, Peng Lin, Tong Wang, Zi-Qi Zhang, Bai-Qiu Zhao, Wen-Fang Jiao, Xiao-Nan Yu

“…Unlike conventional methods, which typically rely solely on hardware optimization or basic thresholding techniques, the proposed approach integrates filtering and synchronization to improve weak-signal detection and reduce noise-induced errors. …”
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