Optimizing Heart-Kidney Interaction for Cancer Detection Through Physiological Process Simulation as a Decision Support System by Najmeh Sadat Jaddi, Salwani Abdullah, Zalinda Othman, Yazrina Yahya, Mohd Zakree Ahmad Nazri, Say Leng Goh, Fatemeh Alvankarian, Jafar Alvankarian

“…Additionally, the HK algorithm’s effectiveness as a decision support system is tested on benchmark classification and time series prediction problems, with statistical analysis against existing methods in the literature. Finally, the HK algorithm is applied to cancer detection from microRNA data, demonstrating its potential in optimizing decision-making processes in healthcare.…”
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Task-Decoupled Learning Strategies for Optimized Multiclass Object Detection From VHR Optical Remote Sensing Imagery by Guangyao Zhou, Guanqun Wang, Yu Huang, Wenzhi Wang, Zhi Qu, Chenghan Yin

“…Object detection in remote sensing imagery poses significant challenges due to the vast scale variations and long-tail class distributions inherent in these scenarios. …”
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Deep Learning Network Selection and Optimized Information Fusion for Enhanced COVID-19 Detection: A Literature Review by Olga Adriana Caliman Sturdza, Florin Filip, Monica Terteliu Baitan, Mihai Dimian

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TMBO-AOD: Transparent Mask Background Optimization for Accurate Object Detection in Large-Scale Remote-Sensing Images by Tianyi Fu, Hongbin Dong, Benyi Yang, Baosong Deng

“…To address this, we propose a novel framework for accurate object detection, termed transparent mask background optimization for accurate object detection (TMBO-AOD), which incorporates a clear focus module and an adaptive filtering framework. …”
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Bi directional sparse attention recurrent autoencoder based intrusion detection for VANET security with tuna swarm optimization by R. Gopi, V. Thiruppathy Kesavan, Md. Jakir Hossen, Nor Hidayati Binti Abdul Aziz

“…The evolutionary based optimization effectively tuned the hyper parameters of the DL model which will improve the detection accuracy. …”
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A Lightweight YOLOv8s Algorithm for Ceiling Fan Blade Defect Detection With Optimized Pruning and Knowledge Distillation by Qinyuan Huang, Chen Fan, Yuqi Sun, Jiaxiong Huang, Wengziyang Jiang

“…We propose a lightweight algorithm for detecting surface defects on ceiling fan blades using YOLOv8s, incorporating optimizations and enhancements in model pruning and knowledge distillation. …”
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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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Optimizing UAV performance with IoT and fuzzy linear fractional transportation models by Samaher Al-Janabi, Nawras G. Seyhood

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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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Design and simulation of a graphene-integrated SPR biosensor for malaria detection by Talia Tene, Fabian Arias Arias, Karina I. Paredes-Páliz, Juan Carlos González García, Nataly Bonilla García, Cristian Vacacela Gomez

“…Two configurations (Sys3 and Sys4) were simulated using the transfer matrix method to determine optimal material thicknesses. …”
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Energy Optimization in Ultrasound Tomography Through Sensor Reduction Supported by Machine Learning Algorithms by Bartłomiej Baran, Tomasz Rymarczyk, Dariusz Majerek, Piotr Szyszka, Dariusz Wójcik, Tomasz Cieplak, Marcin Gąsior, Marcin Marczuk, Edmund Wąsik, Konrad Gauda

“…In subsequent steps, machine learning models are developed to predict the number, location, and size of the objects. A reliable object detection method is introduced, requiring less information than traditional signal analysis from multiple channels. …”
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Effective deployment strategies for optimizing area coverage in multistatic sonar detection based on Cassini oval approximation and a virtual force algorithm by Liufang Fu, Ming Zhou, Linzhou Xu, Xiaoming Dong, Zhu Kou, Chunyu Kang

“…Multistatic sonar is regarded as a highly promising method for detecting quiet submarines over long distances. …”
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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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Predictive Maintenance of HVAC Systems using Deep Learning for Optimized Building Energy Efficiency by Seyed Abolfazl Aghili, Amin Haji Mohammad Rezaei, Mostafa Khanzadi

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Bitemporal Remote Sensing Change Detection With State-Space Models by Lukun Wang, Qihang Sun, Jiaming Pei, Muhammad Attique Khan, Maryam M. Al Dabel, Yasser D. Al-Otaibi, Ali Kashif Bashir

“…This article investigates the impact of different scanning mechanisms within Mamba, evaluating five mainstream methods to optimize its performance in change detection. …”
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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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Intelligent Detection and Automatic Removal Robot for Skinned Garlic Cloves by Zhengbo Zhu, Xin Cao, Yawen Xiao, Li Xin, Lei Xin, Shuqian Li

“…The research results of this paper are conducive to the development of intelligent detection technology of garlic cloves, and to the development of garlic-planting technology and deep processing technology.…”
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Establishment and application of dual rpa-basic and rpa-lfd detection method for pasteurella multocida and actinobacillus pleuropneumoniae by Jingjing LI, Xiaobing WEI, Shuang LI, Mingcheng LIU, Qianlei ZHU, Kexin WANG, Lei WANG, Yingying CAO, Meinan CHANG, Chunling ZHU, Zhanwei TENG, Xuehan LIU, Huihui ZHANG, Xiaojing XIA, Ke DING

“…Based on recombinase polymerase amplification (RPA) detection technology (combined with (lateral flow dipstick, LFD)), it is aimed to establish a dual recombinase polymerase amplification method for the rapid identification of Pasteurella multocida (Pm) and Actinobacillus pleuropneumoniae (APP). …”
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A Robust Multi‐Objective Pressure Sensor Placement Method for Burst Detection in Water Distribution Systems by Kun Du, Jinxin Yu, Feifei Zheng, Wei Xu, Dragan Savic, Zoran Kapelan

“…These comparisons reveal the properties of each optimization method and show how detection performance is affected by various placement features. …”
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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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