Machine learning for Internet of Things (IoT) device identification: a comparative study by Hamid Tahaei, Anqi Liu, Hamid Forooghikian, Mehdi Gheisari, Faiz Zaki, Nor Badrul Anuar, Zhaoxi Fang, Longjun Huang

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A Portable Real-Time Electronic Nose for Evaluating Seafood Freshness Using Machine Learning by Muhammad Rafi Mahfuz Setyagraha, Hurul Aini Nurqamaradillah, Laksamana Mikhail Hermawan, Nyoman Raflly Pratama, Ledya Novamizanti, Dedy Rahman Wijaya

“…It also demonstrated excellent efficiency with detection times under 1 millisecond and memory usage of ~4 kB. …”
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A borehole image dataset for the intelligent identification of structural planes by Yi Cheng, Zengqiang Han, Yuyong Jiao, Shuangyuan Chen, Chao Wang

“…In object detection tasks, YOLO-v8 achieved optimal performance with mAP50, mAP75, and mAP50–95 values of 75.8 %, 64.7 %, and 60.0 %, respectively, alongside precision and recall rates of 64.30 % and 83.60 %, outperforming other models. …”
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Marburg virus disease in Rwanda: an observational study of the first 10 days of outbreak response, clinical interventions, and outcomes by Gashaija Absolomon, Canita R. Brent, Emmanuel C. Nyabyenda, Kelly Mwiza, Piero Irakiza, Zuki Chiwandire, Caroline Mudereri, Nathalie Umutoni, Sabine Musange, Eric Seruyange, Felix K. Rubuga, Theogene Twagiramugabe, Sanctus Musafiri, Edson Rwagasore, Jeanine Condo

“…Rwanda’s response included increased testing, early detection, intensive care management, experimental therapeutics (monoclonal antibodies and remdesivir), and comprehensive contact tracing. …”
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Hemolytic Transfusion Reaction due to Anti Jk Antibody, a Frequently Transient and Low‐Titer Antibody Probably Not Detected in Pretransfusion Testing; A Case Report by Samaneh Salarvand, Aysan Nozheh, Alireza Abdollahi, Hassan Sohrabinia

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A diagnostic system for detecting COVID-19 patients depending on lexicon semantic and Biterm Topic Model-Based Feature Selection on WhatsApp Messages Classification by Raghad Hatem, Noor Hussein Eliwe

“…COVID-19 has created an urgent need for innovative detection methods. This study presents a novel approach to identifying potential COVID-19 patients by analyzing their WhatsApp messages using advanced natural language processing techniques. …”
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Artificial intelligence: a useful tool in active tuberculosis screening among vulnerable groups in Romania - advantages and limitations by Beatrice Mahler, Beatrice Mahler, Beatrice Mahler, Alexandru Stoichiță, Alexandru Stoichiță, Alexandru Stoichiță, Dragoș Băiceanu, Dragoș Băiceanu, Traian-Constantin Panciu, Traian-Constantin Panciu, Dragoș Dendrino, Dragoș Dendrino, Mihaela Mihai, Mihaela Mihai, Raluca Bobocea, Elmira Ibraim, Elmira Ibraim, Mara Bălteanu, Mara Bălteanu, Oana Popescu, Oana Popescu, Mădălina Oana Burecu, Mădălina Oana Burecu, Ioana Mădălina Moșteanu, Ioana Mădălina Moșteanu, Vanessa Veronese, Radu Matache, Radu Matache, Ioana Munteanu, Ioana Munteanu, Ioana Munteanu, Cristina Popa, Cristina Popa, Justina Antonela Dragomir, Justina Antonela Dragomir, Justina Antonela Dragomir

“…ROC curve analysis indicates an AUC of 0.923 (95% CI:0.893–0.947; significance level p < 0.0001) which shows that the test has a high capacity to accurately detect individuals with TB and also to rule out those who do not have the disease, with sensitivity 87.1, specificity 91.6 and criterion >0.3585.ConclusionOur study brings to the fore the significance of integrating AI software X-vision with bacteriological diagnosis in detecting TB among vulnerable groups in Romania. …”
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Individual tree detection from unmanned aerial vehicle (UAV) derived point cloud data in a mixed broadleaf forest using hierarchical graph approach by Seyed Ali Ahmadi, Arsalan Ghorbanian, Farshad Golparvar, Ali Mohammadzadeh, Sadegh Jamali

“…Horizontal cross-sections at different heights were applied to the Canopy Height Model (CHM) to extract initial candidates for graph nodes. The graph was processed in multiple steps, and individual treetop locations were detected based on graph nodes’ properties. …”
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A Fast Convergence Scheme Using Chebyshev Iteration Based on SOR and Applied to Uplink M-MIMO B5G Systems for Multi-User Detection by Yung-Ping Tu, Guan-Hong Liu

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Can positron emission tomography with 18F-FDG substitute bone marrow biopsy for detecting bone marrow infiltration in patients with large B-cell lymphoma? by Susan Adil Ali, Moustafa Mahmoud Abdelkawi, Merhan Ahmed Nasr, Haytham Abdelkader, Darine Amin, Safenaz Y. El Sherity, Mohamed Metkees, Samar Ramzy Ragheb Hanna

“…Although 30 (38.5%) patients had bone marrow infiltration was detected by 18F-FDG PET/CT scan. However, 20 (25.6%) patients were detected by bone marrow biopsy. …”
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Evaluation of ChatGPT-4 for the detection of surgical site infections from electronic health records after colorectal surgery: A pilot diagnostic accuracy study by Josep M. Badia, Daniel Casanova-Portoles, Estela Membrilla, Carles Rubiés, Miquel Pujol, Joan Sancho

“…Conclusions: ChatGPT shows high sensitivity and good overall accuracy for detecting SSI. It appears to be a useful tool for initial screenings and for reducing manual review workload. …”
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Development of a TaqMan qPCR for the Simultaneous Detection of the TuMV and BBWV2 Viruses Responsible for the Viral Disease in <i>Pseudostellaria heterophylla</i> by Li Gu, Chensi Liu, Shuting Yao, Jiaxin Wu, Lianghong Wang, Jing Mu, Yankun Wang, Jianming Wang, Zhongyi Zhang, Mingjie Li

“…Currently, the absence of a quantitative detection method for these viruses in <i>P. heterophylla</i> impedes the accurate diagnosis. …”
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EasyNAT MTC assay: A simple, rapid, and low-cost cross-priming amplification method for the detection of mycobacterium tuberculosis suitable for point-of-care testing by Zhuman Zhang, Jian Du, Tao Liu, Fen Wang, Junnan Jia, Lingling Dong, Liping Zhao, Yi Xue, Guanglu Jiang, Xia Yu, Hairong Huang

“…Of the 169 PTB patients, EasyNAT detected more PTB patients than Xpert (72.19% vs. 61.54%, P < 0.05, χ2 = 4.326). …”
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Tackling gaps in developing life‐changing treatments for dementia by Rui Mauricio, Caroline Benn, John Davis, Gerry Dawson, Lee A. Dawson, Alison Evans, Nick Fox, John Gallacher, Mike Hutton, John Isaac, Declan N.C. Jones, Lesley Jones, Giovanna Lalli, Vincenzo Libri, Simon Lovestone, Catherine Moody, Wendy Noble, Hugh Perry, James Pickett, David Reynolds, Craig Ritchie, Jonathan D. Rohrer, Carol Routledge, James Rowe, Heather Snyder, Tara Spires‐Jones, Jina Swartz, Luc Truyen, Paul Whiting, Therapeutics for Dementia Consortium

“…Abstract Since the G8 dementia summit in 2013, a number of initiatives have been established with the aim of facilitating the discovery of a disease‐modifying treatment for dementia by 2025. …”
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Online monitoring data processing methods for railway slopes and its application: A case study of the Shuohuang Railway by Mu GU

“…Taking the online monitoring system for slope deformation on the Shuohuang Railway as an example, this study focuses on three crucial aspects of data processing: data preprocessing, noise suppression, and deformation trend prediction. Initially, the 3σ criterion is employed for outlier detection in monitoring data, which is then corrected using the Kalman filter algorithm. …”
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A Theoretical Analysis of the Frequency Response in p-i-n Photodiodes that Use InGaAs/InP Materials by Nesrine Bakalem, Abdelkader Aissat, Samuel Dupont, Faouzi Saidi, Mohamed Houcine Dhaou, Jean Pierre Vilcot

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Core Payload of the Space Gravitational Wave Observatory: Inertial Sensor and Its Critical Technologies by Shaoxin Wang, Dongxu Liu, Xuan Zhan, Peng Dong, Jia Shen, Juan Wang, Ruihong Gao, Weichuan Guo, Peng Xu, Keqi Qi, Ziren Luo

“…Since Einstein’s prediction regarding the existence of gravitational waves was directly verified by the ground-based detector Advanced LIGO, research on gravitational wave detection has garnered increasing attention. To overcome limitations imposed by ground vibrations and interference at arm’s length, a space-based gravitational wave detection initiative was proposed, which focuses on analyzing a large number of waves within the frequency range below 1 Hz. …”
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Robust 3-D Multi-Source Localization With a Movable Antenna Array via Sparse Signal Processing by Amir Mansourian, Alireza Fadakar, Saeed Akhavan, Behrouz Maham

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Advanced lightweight deep learning vision framework for efficient pavement damage identification by Shuai Dong, Yunlong Wang, Jin Cao, Jia Ma, Yang Chen, Xin Kang

“…To address the demand for large-scale real-time pavement damage assessment, this study proposes a lightweight pavement damage detection model based on YOLOv5s (LPDD-YOLO). Initially, a lightweight feature extraction network, FasterNet, is adopted to reduce the number of parameters and computational complexity. …”
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Development of a Portable Electro-mechanical Crack Monitoring Device for Pipeline Steel Materials by Oyewole Adedipe, Chinedu Johnpaul Manulu, Joseph Abutu, Uzoma Gregory Okoro, Sunday Albert Lawal, Jonathan Yisa Jiya

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