Early Diagnosis of Alzheimer’s Disease Using Adaptive Neuro K-Means Clustering Technique by Karan Kumar, Shweta Agrawal, Isha Suwalka, Celestine Iwendi, Cresantus N. Biamba

“…Classification is performed using various algorithms, evaluated on sensitivity, accuracy, precision, and similarity metrics. …”
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Public Health Using Social Network Analysis During the COVID-19 Era: A Systematic Review by Stanislava Gardasevic, Aditi Jaiswal, Manika Lamba, Jena Funakoshi, Kar-Hai Chu, Aekta Shah, Yinan Sun, Pallav Pokhrel, Peter Washington

“…We surveyed the methodological approaches and network characteristics commonly employed in public health SNA studies, finding that most studies applied only basic network metrics and algorithms such as layout, community detection, and standard centrality measures. …”
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Nephrotoxicity Biomarkers: Role and Significance in the Diagnosis of Drug-Induced Kidney Injury by O. V. Muslimova, V. A. Evteev, I. A. Mazerkina, E. A. Sokova, A. B. Prokofiev, A. V. Shapchenko, T. V. Alexandrova

“…Drug-induced kidney injury (DIKI) accounts for 8 to 60% of episodes of acute kidney injury (AKI) among hospital patients. Early DIKI detection and timely adjustment of therapy will help reduce the kidney injury incidence and mortality. …”
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CircuitHD: Brain-Inspired Hyperdimensional Computing for Circuit Recognition by Paul R. Genssler, Lilas Alrahis, Ozgur Sinanoglu, Hussam Amrouch

“…One advantage of HDC over conventional deep learning algorithms is that it does not require extensive training to encode a gate-level netlist into a hypervector. …”
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Machine learning for improved size estimation of complex marine particles from noisy holographic images by Zonghua Liu, Zonghua Liu, Marika Takeuchi, Yéssica Contreras, Thangavel Thevar, Alex Nimmo-Smith, John Watson, Sarah L. C. Giering

“…However, most standard algorithms fail to accurately size objects in reconstructed holograms owing to the high background noise. …”
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Source reconstruction via deposition measurements of an undeclared radiological atmospheric release by S. Van Leuven, S. Van Leuven, S. Van Leuven, P. De Meutter, P. De Meutter, J. Camps, P. Termonia, P. Termonia, A. Delcloo, A. Delcloo

“…The inversion consists of Bayesian and cost-function-based algorithms to reconstruct the initial source properties. …”
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Applications of deep learning in trauma radiology: A narrative review by Chi-Tung Cheng, Chun-Hsiang Ooyang, Chien-Hung Liao, Shih-Ching Kang

“…Deep learning (DL) has become mainstream in medical image analysis and has shown promising efficacy for classification, segmentation, and lesion detection. This narrative review provides the fundamental concepts for developing DL algorithms in trauma imaging and presents an overview of current progress in each modality. …”
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Designing an Intelligent Scoring System for Crediting Manufacturers and Importers of Goods in Industry 4.0 by Mohsin Ali, Abdul Razaque, Joon Yoo, Uskenbayeva Raissa Kabievna, Aiman Moldagulova, Satybaldiyeva Ryskhan, Kalpeyeva Zhuldyz, Aizhan Kassymova

“…On the other hand, the capabilities of AI-driven credit assessment algorithms enable more precise, effective, and customized credit choices that are specifically tailored to meet the unique financial profiles of manufacturers and importers. …”
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Development of an explainable machine learning model for Alzheimer’s disease prediction using clinical and behavioural features by Rajkumar Govindarajan, K. Thirunadanasikamani, Komal Kumar Napa, S. Sathya, J. Senthil Murugan, K. G. Chandi Priya

“…A comparative analysis of multiple classification algorithms was conducted, with the Gradient Boosting classifier yielding the best performance (accuracy: 93.9 %, F1-score: 91.8 %). …”
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Energy-Efficient Target Area Imaging for UAV-SAR-Based ISAC: Beamforming Design and Trajectory Optimization by Jiayi Zhou, Xiangyin Zhang, Kaiyu Qin, Feng Yang, Libo Wang, Deyu Song

“…Numerical results demonstrate that compared to existing benchmarks and PSO algorithms, the proposed method significantly improves the energy efficiency of UAV-SAR-based ISAC systems through optimized trajectory design.…”
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Key Vital Signs Monitor Based on MIMO Radar by Michael Gottinger, Nicola Notari, Samuel Dutler, Samuel Kranz, Robin Vetsch, Tindaro Pittorino, Christoph Würsch, Guido Piai

“…Key vital parameters that can be measured in the second step are respiration rate, asynchronous respiratory movement of chest and abdomen and limb movements. The developed algorithms were tested through experiments. The achieved mean absolute error (MAE) for the locations of the xiphoid and navel was less than 5 cm and the categorical accuracy of pose classification and limb movement detection was better than 90% and 98.6%, respectively. …”
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MobNas ensembled model for breast cancer prediction by Tariq Shahzad, Sheikh Muhammad Saqib, Tehseen Mazhar, Muhammad Iqbal, Ahmad Almogren, Yazeed Yasin Ghadi, Mamoon M. Saeed, Habib Hamam

“…Thus, while substantial progress has been made in developing machine learning algorithms, deep learning, and transfer learning models, issues with diagnostic accuracy and minimizing diagnostic errors persist. …”
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State of Health Estimation of Li-Ion Battery via Incremental Capacity Analysis and Internal Resistance Identification Based on Kolmogorov–Arnold Networks by Jun Peng, Xuan Zhao, Jian Ma, Dean Meng, Shuhai Jia, Kai Zhang, Chenyan Gu, Wenhao Ding

“…Three commonly used machine learning methods (BP, LSTM, TCN) and two hybrid algorithms (LSTM-KAN and TCN-KAN) were used to establish the SOH estimation model. …”
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A Systematic Literature Review of Cyber Security Monitoring in Maritime by Risto Vaarandi, Leonidas Tsiopoulos, Gabor Visky, Muaan Ur Rehman, Hayretdin Bahsi

“…The current paper addresses this research gap and surveys the methods, algorithms, tools and architectures used for cyber security monitoring in the maritime sector. …”
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A Flow-Speed Model for Motorways in England: Analysis Under Various Weather Conditions by Ye Liu, Haibo Chen, Chuhan Yin, Vivi Michalaki, Phillip Proctor, Gavin Rowley, Xiaowei Wang, Hongyuan Wei

“…A whole year’s field data on various sites of the M25 motorway were collected by the National Highways MIDAS (Motorway Incident Detection and Automatic Signalling) system and analysed. …”
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Health system costs of providing outpatient care for diabetes in people with TB in the Philippines by T. Yamanaka, M.C. Castro, J.P. Ferrer, J.A. Solon, S.E. Cox, Y.V. Laurence, A. Vassall

“…RESULTS: The mean cost per service ranged from USD0.53 for DM risk assessment to USD23.72 for oral glucose tolerance test. The cost per case detected for different algorithms varied from USD17.43 to USD80.81. …”
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IoT-MFaceNet: Internet-of-Things-Based Face Recognition Using MobileNetV2 and FaceNet Deep-Learning Implementations on a Raspberry Pi-400 by Ahmad Saeed Mohammad, Thoalfeqar G. Jarullah, Musab T. S. Al-Kaltakchi, Jabir Alshehabi Al-Ani, Somdip Dey

“…Pre-processing of the in-house database involves face detection using OpenCV’s Haar Cascade, Dlib’s CNN Face Detector, and Mediapipe’s Face. …”
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Precision Analysis of Multi-Parameter Multi-Epoch Emitter Localization Radar in Three-Satellite Formation by Yiming Lian, Yuxuan Wu, Yaowen Chen, Xian Liu, Liming Jiang

“…Emitter localization offers significant advantages such as high concealment, long detection range, and low cost, making it indispensable in target positioning. …”
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ParaU-Net: An improved UNet parallel coding network for lung nodule segmentation by Yingqi Lu, Xiangsuo Fan, Jinfeng Wang, Shaojun Chen, Jie Meng

“…Accurate segmentation of lung nodules is crucial for the early detection of lung cancer and other pulmonary diseases. …”
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SynthSoM: A synthetic intelligent multi-modal sensing-communication dataset for Synesthesia of Machines (SoM) by Xiang Cheng, Ziwei Huang, Yong Yu, Lu Bai, Mingran Sun, Zengrui Han, Ruide Zhang, Sijiang Li

“…The SynthSoM dataset is open-sourced and provides consistent data for cross-comparing SoM-related algorithms.…”
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