Detection of Escherichia coli Using Bacteriophage T7 and Analysis of Excitation‑Emission Matrix Fluorescence Spectroscopy by Nicharee Wisuthiphaet, Huanle Zhang, Xin Liu, Nitin Nitin

“…Conventional detection methods require the isolation and enrichment of bacteria, followed by molecular, biochemical, or culture-based analysis. …”
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Comparative analysis of single-board computers for the development of a microarchitectural computing system for fire detection by D. A. Paulenka

“…The method of comparative analysis is used to select a computing platform. A series of performance tests and comparative analysis (benchmarking) are performed on the selected equipment. …”
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Spatiotemporal chest wall movement analysis using depth sensor imaging for detecting respiratory asynchrony by Masaru Mitsuya, Hiroki Nishine, Hiroshi Handa, Masamichi Mineshita, Masaki Kurosawa, Tetsuo Kirimoto, Shohei Sato, Takemi Matsui, Guanghao Sun

“…Background and objective: This study aimed to enhance point-of-care pulmonary function tests by developing a novel method for the spatiotemporal analysis of chest wall movements using a sequence of depth sensor images. …”
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Early Detection and Age-Comparative Analysis of Colorectal Cancer Screening: Insights from the Turkish Population by Cem Batuhan Ofluoğlu, Fırat Mülküt, İsa Caner Aydın, Mehmet Karahan

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Impact of Temporal Resolution on Autocorrelative Features of Cerebral Physiology from Invasive and Non-Invasive Sensors in Acute Traumatic Neural Injury: Insights from the CAHR-TBI... by Nuray Vakitbilir, Rahul Raj, Donald E. G. Griesdale, Mypinder Sekhon, Francis Bernard, Clare Gallagher, Eric P. Thelin, Logan Froese, Kevin Y. Stein, Andreas H. Kramer, Marcel J. H. Aries, Frederick A. Zeiler

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Research on Change Information Retrieval Method for Energy Infrastructure Based on Optical Remote Sensing Images by Zhibao Wang, Ying Yuan, Man Zhao, Dan Zhou, Lu Bai, Jinhua Tao, Anna Jurek-Loughrey

“…A deep hashing technique is applied to the extracted features, optimizing retrieval accuracy via contrastive loss. …”
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Vibrational spectroscopy unveils distinct cell cycle features of cancer stem cells in melanoma by Bensu Rüya Uslu, Berrin Ozdil, Enver Tarhan, Serdar Özçelik, Hüseyin Aktuğ, Günnur Güler

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A study for method-level code smells detection using machine learning algorithms by Rajwant Singh Rao, Seema Dewangan, Alok Mishra, Manjari Gupta

“…Although several machine learning algorithms have been proposed to detect code smells, the impact of feature selection and cross-validation on certain method-level smells, specifically Long Parameter List and Switch Statements, has not been adequately explored in prior research. …”
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Hybrid feature fusion in cervical cancer cytology: a novel dual-module approach framework for lesion detection and classification using radiomics, deep learning, and reproducibilit... by Shurong Niu, Lili Zhang, Lina Wang, Xue Zhang, Erniao Liu

“…Comprehensive statistical analyses, including bootstrapped confidence intervals and Delong’s test, further substantiated the robustness and reliability of the proposed framework.ConclusionsThe proposed AI-driven cytology analysis framework offers superior lesion detection, feature fusion-based classification, and robust generalizability, providing a scalable solution for automated cervical cancer screening. …”
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TFDGiniXML: A Novel Explainable Machine Learning Framework for Early Detection of Cardiac Abnormalities Based on Nonlinear Time-Frequency Distribution Gini Index Features by Mohamed Aashiq, Shaiful Jahari Hashim, Fakhrul Zaman Rokhani, Marsyita Hanafi, Ahmed Faeq Hussein

“…These features are extracted using the Choi-Williams Time-Frequency method, reporting the first instance application of GI measures to nonlinear time-frequency distribution (TFD) for ECG analysis. …”
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Investigation of Features of Mass-Fragmentation of Some N-(N,N-diethylacetamidino)-O-alkylfluorophosphates and Related Alkylfluorophosphonates and their Detection by Liquid Chro... by A. V. Braun, I. V. Rybalchenko, V. N. Fateenkov, V. A. Yashkir

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Ensemble Machine Learning Models Utilizing a Hybrid Recursive Feature Elimination (RFE) Technique for Detecting GPS Spoofing Attacks Against Unmanned Aerial Vehicles by Raghad Al-Syouf, Omar Y. Aljarrah, Raed Bani-Hani, Abdallah Alma’aitah

“…Therefore, this paper proposes a hybrid Recursive Feature Elimination (RFE) technique based on feature importance ranking along with a Spearman Correlation Analysis (SCA). …”
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Depression Analysis and Detection Using Machine Learning: Incorporating Gender Differences in a Comparative Study by Marina Galanina, Anna Rekiel, Anna BaCzyk, Bozena Kostek

“…Depression is a significant mental health problem and presents a challenge for the machine learning field in the detection of this illness. This study explores automated depression classification, leveraging computational techniques to address this issue. …”
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Advanced Multi-Scale CNN-BiLSTM for Robust Photovoltaic Fault Detection by Xiaojuan Zhang, Bo Jing, Xiaoxuan Jiao, Ruixu Yao

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VdaBSC: A Novel Vulnerability Detection Approach for Blockchain Smart Contract by Dynamic Analysis by Rexford Nii Ayitey Sosu, Jinfu Chen, Edward Kwadwo Boahen, Zikang Zhang

“…However, they are not immune to security flaws, which can result in significant financial losses. These flaws can be detected using dynamic analysis methods that extract various aspects from smart contract bytecode. …”
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Enhancing Latent Defect Detection in Built-In Spindle Assembly Lines Through Vibration Data Analysis by Kuo-Hao Li, Chao-Nan Wang, Yao-Chi Tang

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A Comparative Analysis of YOLOv9, YOLOv10, YOLOv11 for Smoke and Fire Detection by Eman H. Alkhammash

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Psychotic Experiences and Working Memory: A Population-Based Study Using Signal-Detection Analysis. by Rodolfo Rossi, Stanley Zammit, Katherine S Button, Marcus R Munafò, Glyn Lewis, Anthony S David

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Interpretable deep learning for gastric cancer detection: a fusion of AI architectures and explainability analysis by Junjie Ma, Fang Yang, Rong Yang, Yuan Li, Yongjing Chen

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An Improved Model for Online Detection of Early Lameness in Dairy Cows Using Wearable Sensors: Towards Enhanced Efficiency and Practical Implementation by Xiaofei Dai, Guodong Cheng, Lu Yang, Yali Wang, Zhongkun Li, Shuqing Han, Jifang Liu

“…The recall and F1 score for lameness, including early and severe cases, reached 89.11% and 88.93%, demonstrating potential for early and progressive lameness detection. This study improves lameness detection efficiency and validates the feasibility and practical value of wearable sensor-based gait analysis for dairy cow health management, providing new approaches and technical support for monitoring and early intervention on large-scale farms.…”
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