Per- and poly-fluoroalkyl substances: A review of sources, properties, chromatographic detection, and toxicological implications by Eliasu Issaka, Mabruk Adams, Enock Adjei Agyekum, Josephine Baffoe, Blessing Tornyeava

“…Emerging per and poly-fluoroalkyl substances (PFASs) are very resistant to degradation and have negative impacts on human and environmental health at very low concentrations. The initial stage in removing PFASs from contaminated locations is their detection and quantification. …”
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DECISION TREE WITH HILL CLIMBING ALGORITHM BASED SPECTRUM HOLE DETECTION IN COGNITIVE RADIO NETWORK by N Suganthi, R Meenakshi, A Sairam, M Parvathi

“…The approach integrates a Decision Tree (DT) algorithm for rapid initial classification of Primary User (PU) activity, followed by a Hill Climbing (HC) optimization algorithm that fine-tunes the detection based on a fitness function. …”
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A Systematic Review of Machine Learning Algorithms for Soil Pollutant Detection Using Satellite Imagery by Amir TavallaieNejad, Maria Cristina Vila, Gustavo Paneiro, João Santos Baptista

“…This review explores the application of satellite imagery and machine learning (ML) techniques in detecting soil pollution, addressing recent advancements and key challenges in this field. …”
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A Transfer Learning-Based VGG-16 Model for COD Detection in UV–Vis Spectroscopy by Jingwei Li, Iqbal Muhammad Tauqeer, Zhiyu Shao, Haidong Yu

“…Chemical oxygen demand (COD) serves as a key indicator of organic pollution in water bodies, and its rapid and accurate detection is crucial for environmental protection. …”
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SH17: A dataset for human safety and personal protective equipment detection in manufacturing industry by Hafiz Mughees Ahmad, Afshin Rahimi

“…We have trained state-of-the-art OD models for benchmarking, and initial results demonstrate promising accuracy levels with You Only Look Once (YOLO)v9-e model variant exceeding 70.9% in PPE detection. …”
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EM-COGLOAD: An investigation into age and cognitive load detection using eye tracking and deep learning by Gabriella Miles, Melvyn Smith, Nancy Zook, Wenhao Zhang

“…Eye movement behaviour demonstrates potential as a non-invasive biomarker for Alzheimer’s Disease, with changes detectable at an early stage after initial onset. This paper introduces a new publicly available dataset: EM-COGLOAD (available at https://osf.io/zjtdq/, DOI: 10.17605/OSF.IO/ZJTDQ). …”
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Magnetic Source Detection Using an Array of Planar Hall Effect Sensors and Machine Learning Algorithms by Miki Vizel, Roger Alimi, Daniel Lahav, Moty Schultz, Asaf Grosz, Lior Klein

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Early Detection of Voltage Instability: A Transparent, Rule-Based Method for Cyber-Resilient Grids by Mahtab Khalilifar, Seyed Mohammad Shahrtash

“…Comprehensive simulations on IEEE test systems under N-1/N-2 contingencies and load disturbances demonstrate three key advantages: 1) Early and accurate voltage stability prediction (96.8% detection accuracy), 2) Reliable identification of critical generators/loads contributing to instability, and 3) Cyber-resilient operation verified through adversarial test cases. …”
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LE-YOLOv5: A Lightweight and Efficient Neural Network for Steel Surface Defect Detection by Chengshun Zhu, Yong Sun, Hongji Zhang, Shilong Yuan, Hui Zhang

“…It provides excellent potential for defect detection of steel in industrial environment.…”
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Phenotypic Detection of Carbapenemase Production Among Enterobacteriaceae Using a Modified Carbapenem Inactivation Method by Asiye Karakullukçu, Gökhan Aygün

“…AIM: We aimed to evaluate the effectiveness of a modified Carbapenem Inactivation Method (CIM) in detecting carbapenemase production among different clinical Enterobacteriaceae strains. …”
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DAPONet: A Dual Attention and Partially Overparameterized Network for Real-Time Road Damage Detection by Weichao Pan, Jianmei Lei, Xu Wang, Chengze Lv, Gongrui Wang, Chong Li

“…These traditional methods also struggle with detecting minor damage, such as small cracks and initial potholes, making real-time road monitoring challenging. …”
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BEVCorner: Enhancing Bird’s-Eye View Object Detection with Monocular Features via Depth Fusion by Jesslyn Nathania, Qiyuan Liu, Zhiheng Li, Liming Liu, Yipeng Gao

“…This research paper presents BEVCorner, a novel framework that synergistically integrates monocular and multi-view pipelines for enhanced 3D object detection in autonomous driving. By fusing depth maps from Bird’s-Eye View (BEV) with object-centric depth estimates from monocular detection, BEVCorner enhances both global context and local precision, addressing the limitations of existing methods in depth precision, occlusion robustness, and computational efficiency. …”
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Resilience of Machine Learning Models in Anxiety Detection: Assessing the Impact of Gaussian Noise on Wearable Sensors by Abdulrahman Alkurdi, Jean Clore, Richard Sowers, Elizabeth T. Hsiao-Wecksler, Manuel E. Hernandez

“…This indicated a proportional decline in performance across both feature-based and end-to-end models as noise levels increased, challenging initial assumptions about model resilience. This analysis highlights the need for more robust algorithms capable of maintaining accuracy in noisy, real-world environments and emphasizes the importance of considering environmental factors in the development of wearable anxiety detection systems.…”
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TEST-SYSTEM BASED ON INDIRECT “SANDWICH” ELISA TO DETECT THE LUMPY SKIN DISEASE VIRUS ANTIGEN by O. A. Ryabikina, V. I. Diev, O. P. Byadovskaya, A. V. Konstantinov, S. K. Starov, A. V. Kononov, V. Yu. Kulakov, O. N. Petrova

“…The test-system development included antibody preparation in laboratory animals (rabbits and guinea pigs), selection of optimal dilution of capture and detection antibodies, composition of a buffer solution and conditions of the reaction procedure. 50 samples of initial culture antigens of the lumpy skin disease virus as well virus-containing suspensions collected on different stages of purification and concentration were tested using this technique. …”
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The Control of Gold Nanoparticles on Polyester Fibers by Raman Spectrograms in Conditions of Information Uncertainty with Detection Accuracy by V.M. Emelyanov, T.A. Dobrovolskaya, S.A. Danilova, V.V. Emelyanov, K.V. Butov, E.J. Orlov

“…As a result of the carried-out modeling were allocated: initial ranges, background components and the Raman ranges without background components. …”
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A Hybrid Deep Learning Model for Waste Detection and Classification Utilizing YOLOv8 and CNN by Ain Atiqa Mustapha, Sarah ‘Atifah Saruchi, Heru Supriyono, Mahmud Iwan Solihin

“…The model combines the excellent classification performance of a Convolutional Neural Network (CNN) with the strong detection capabilities of YOLOv8. The suggested approach generates bounding boxes that indicate probable objects, using YOLOv8 for initial object localization. …”
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Adaptive DDoS Attack Detection: Entropy-Based Model With Dynamic Threshold and Suspicious IP Reevaluation by Juri Pebrianto, Vera Suryani

“…Reevaluation is utilised to address dubious IPs that evade initial identification due to erratic traffic patterns, whereas <inline-formula> <tex-math notation="LaTeX">$k_{\text {dynamic}}$ </tex-math></inline-formula> is engineered to enhance detection sensitivity by automatic adaptability to traffic fluctuations. …”
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Detection of Mycobacterium tuberculosis in sputum by gas chromatography-mass spectrometry of methyl mycocerosates released by thermochemolysis. by Denise M O'Sullivan, Simona C Nicoara, Reggie Mutetwa, Stanley Mungofa, Oona Y-C Lee, David E Minnikin, Max W Bardwell, Elizabeth L Corbett, Ruth McNerney, Geraint H Morgan

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Detection and Genetic Analysis of Songling Virus in Haemaphysalis concinna near the China-North Korea Border by De Li, Jixu Li, Ruichen Wang, Weijia Zhang, Kai Nie, Qikai Yin, Shihong Fu, Qianqian Cui, Songtao Xu, Fan Li, Xingzhou Li, Huanyu Wang

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Enhancing Mycotoxin Detection in Table Olives: The Role of Enzyme-Linked Immunosorbent Assay and Method Optimization by Alessandro Cammerata, Viviana Del Frate, Tiziana Monforte, Antonio Scarfone, Elio Romano

“…This study aimed to point out the possible application of the Enzyme-Linked Immunosorbent Assay (ELISA) method for the detection of mycotoxins in table olives, assessing the presence of aflatoxins and ochratoxin A. …”
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