Non-Destructive Detection of Fillet Fish Quality Using MQ135 Gas Sensor and Neutrosophic Logic-Enhanced System by M. Y. Shams, M. R. Darwesh, Roheet Bhatnagar, N. S. A. Al-Sattary, A. A. Salama, M. S. Ghoname

“…This integration enhances decision-making by accurately modeling complex real-world uncertainties. These methods, combining electronic nose technology, artificial intelligence, and neutrosophic inference, provide a robust, non-destructive, and cost-effective approach to detecting spoilage in fillet fish. …”
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Optimized Error Detection and Correction in ATM Networks Using the Enhanced Berlekamp Massey Algorithm With Hybrid Automatic Repeat Request by Mahmut Aykac

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Machine-Learning-Based Depression Detection Model from Electroencephalograph (EEG) Data Obtained by Consumer-Grade EEG Device by Kei Suzuki, Tipporn Laohakangvalvit, Midori Sugaya

“…At present, a sufficient score has not been achieved.; <b>Methods:</b> To improve the score of depression detection, we quantified various EEG indices to train models such as power spectrum, asymmetry, complexity, and functional connectivity. …”
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OculusNet: Detection of retinal diseases using a tailored web-deployed neural network and saliency maps for explainable AI by Muhammad Umair, Jawad Ahmad, Oumaima Saidani, Mohammed S. Alshehri, Alanoud Al Mazroa, Muhammad Hanif, Rahmat Ullah, Muhammad Shahbaz Khan

“…This study introduces OculusNet, an efficient and explainable deep learning (DL) approach for detecting retinal diseases using OCT images. The proposed method is specifically tailored for complex medical image patterns in OCTs to identify retinal disorders, such as choroidal neovascularization (CNV), diabetic macular edema (DME), and age-related macular degeneration characterized by drusen. …”
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Crack Detection, Classification, and Segmentation on Road Pavement Material Using Multi-Scale Feature Aggregation and Transformer-Based Attention Mechanisms by Arselan Ashraf, Ali Sophian, Ali Aryo Bawono

“…Detection precision increased from 88.7% to 94.3%, and IoU improved from 78.8% to 93.2%. …”
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Application of novel oligomeric Co(II) complexes of 4,4′-bipyridine and 1,10-phenanthroline modified glassy carbon electrode for differential pulse voltammetric determination of ci... by Mezgebu Biresaw, Adane Kassa, Getinet Tamiru Tigineh, Atakilt Abebe

“…These complexes, designated as [Co21(phen)42(bipy)21]Cl42 (C2) and [Co100(phen)200(bipy)100]Cl200 (C3), were employed for the modification of a glassy carbon electrode (GCE) to detect ciprofloxacin (CPF) in tablet formulations and human urine samples. …”
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A reagent-free, fouling-resistant electrochemical multifunctional peptide sensor for highly sensitive and rapid detection of Alzheimer's disease biomarkers by Yajing Ji, Xueqin Li, Xiumin Li, Xiaochun Hu, Wei Cong, Honggang Hu, Siyao Liu, Yan Chen

“…This study presents a novel, efficient, and rapid strategy for detecting Aβ aggregates in human serum without complex pre-processing and provides practical support for the early clinical diagnosis of AD.…”
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A novel cluster of improved frilled lizard optimization and multi-ladder gated networks for the detection of cyber-attacks in computer networks by Vandana Dharmapuri, Sushama Rani Dutta

“…The proposed ML-GNUs are used for differentiating diverse attack patterns, and the improved frilled lizard technique is employed to tune the model’s hyper-parameters, reducing computational overhead and enhancing detection performance. The efficiency of the proposed model is assessed utilising both simulated real-time data traffic patterns and the CIC-IDS-2017 benchmark dataset, and standard performance metrics like accuracy, precision, recall, specificity, Matthews correlation coefficient (MCC), and F1-score are analyzed and measured. …”
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The Influence and Compensation of Environmental Factors (pH, Temperature, and Conductivity) on the Detection of Chemical Oxygen Demand in Water by UV-Vis Spectroscopy by Jingwei Li, Yipei Ding, Yijing Lu, Jia Liu, Chenxuan Zhou, Zhiyu Shao

“…Considering the complexity of environmental factors, a data fusion method is proposed to compensate for the influence of three environmental factors simultaneously. …”
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Establishment and application of a rapid new detection method for antimicrobial susceptibility testing of Klebsiella pneumoniae based on MALDI-TOF MS by Yapei Zhang, Fanghua Fan, Xuan Wang, Jie Zhu, Shilei Dong

“…Current rapid AST techniques are hampered by factors such as high costs, technological complexities, and limited detection capabilities. We present a novel rapid method and applied to the determination of the susceptibility of K. pneumoniae to imipenem. …”
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A Wireless Sensor Network-Based Combustible Gas Detection System Using PSO-DBO-Optimized BP Neural Network by Min Zhou, Sen Wang, Jianming Li, Zhe Wei, Lingqiao Shui

“…The model exhibits strong robustness in handling nonlinear responses and cross-sensitivity effects across multiple sensors, demonstrating its effectiveness in complex detection scenarios under laboratory conditions within embedded wireless sensor networks.…”
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Passive Radar Low Slow Small Detection Dataset (LSS-PR-1.0) and Multi-domain Feature Extraction and Analysis Methods by Xiaolong CHEN, Guilin RAO, Jian GUAN, Jinhao WANG, Hongyong WANG, Caisheng ZHANG, Jianxin YI, Xianrong WAN, Yunhua RAO

“…Due to the uncontrollable source of passive radar signal radiations, target characteristics are more complex, which makes target detection and identification extremely difficult. …”
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Development of a Quadruplex RT-qPCR Assay for Rapid Detection and Differentiation of PRRSV-2 and Its Predominant Genetic Sublineages in China by Guishan Ye, Siyu Xiong, Zhipeng Su, Guosheng Chen, Siyuan Liu, Zixuan Wang, Huanchun Chen, Anding Zhang

“…In China, the PRRSV epidemiological landscape is complex, with the coexistence of multiple lineages and frequent recombination. …”
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Enhanced Regular Perturbation-Based Nonlinearity Compensation Technique for Optical Transmission Systems by O. S. Sunish Kumar, Abdelkerim Amari, Octavia A. Dobre, Ramachandran Venkatesan

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Key geological and engineering technologies and research directions for shale gas exploration and development in western Hubei Province, China by Guangyou Zhu, Jineng Jin, Qilin Xiao, Lei Wang, Guanglong Sheng, Jun Tang, Jianghui Meng, Zhiyuan Lu, Can Chen

“…For seismic data interpretation, pre-stack elastic inversion and azimuthal anisotropy inversion can be employed as core techniques, overcoming the limitation of individual post-stack attributes in typically detecting only major faults. Furthermore, the inversion boundaries are constrained using log-seismic joint quality control and geomechanical simulation, contributing to enhanced reliability of sweet spot evaluation and efficient exploration in areas with complex structures. …”
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Deep Learning-Based Detection of Separated Root Canal Instruments in Panoramic Radiographs Using a U²-Net Architecture by Nildem İnönü, Umut Aksoy, Dilan Kırmızı, Seçil Aksoy, Nurullah Akkaya, Kaan Orhan

“…<b>Background:</b> Separated endodontic instruments are a significant complication in root canal treatment, affecting disinfection and long-term prognosis. Their detection on panoramic radiographs is challenging, particularly in complex anatomy or for less experienced clinicians. …”
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Hyperspectral Anomaly Detection by Spatial&#x2013;Spectral Fusion Based on Extreme Value-Entropy Band Selection and Cauchy Graph Distance Optimization by Song Zhao, Yali Lv, Wen Zhang, Lijun Wang, Zhiru Yang, Gaofeng Ren, Bin Wang, Xiaobin Zhao, Tongwei Lu, Jiayao Wang, Wei Li

“…Hyperspectral technology for detecting camouflaged targets in complex backgrounds represents a current research hotspot. …”
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Automated Coronary Artery Identification in CT Angiography: A Deep Learning Approach Using Bounding Boxes by Marin Sakamoto, Takaaki Yoshimura, Hiroyuki Sugimori

“…The evaluation metrics included Average Precision (AP), Intersection over Union (IoU), Dice Similarity Coefficient (DSC), and Mean Absolute Error (MAE) to achieve both detection accuracy and spatial localization precision. …”
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Third Ventricle Width Measurements Based on YOLO and Localized Intensity Features by Xiao Zhou, Ao Wan, Xingang Mou, Hongling Gao, Zheng Xue

“…Firstly, to solve the problem of third ventricle detection in the complex background of TCS images, the YOLO-TV improvement model is proposed to improve the detection accuracy. …”
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FAULT DIAGNOSIS OF PLANETARY GEAR TRANSMISSION SYSTEM BASED ON VIBRATION RELEVANT INFORMATION FUSION by ZHAO XiaoQing, XU Yu Xiu, LIANG XiaoYu, YANG WenPing, WEN BangChun

“…In addition,the fault diagnosis model was inspected with 14 groups of signals to be detected,and the results were exactly consistent with the actual fault states. …”
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