Driving Risk Detection Model of Deceleration Zone in Expressway Based on Generalized Regression Neural Network by Weiwei Qi, Zhexuan Wang, Ruru Tang, Linhong Wang

“…Drivers’ mistakes may cause some traffic accidents, and such accidents can be avoided if prompt advice could be given to drivers. So, how to detect driving risk is the key factor. Firstly, the selected parameters of vehicle movement are reaction time, acceleration, initial speed, final speed, and velocity difference. …”
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SH17: A dataset for human safety and personal protective equipment detection in manufacturing industry by Hafiz Mughees Ahmad, Afshin Rahimi

“…This study proposes the SH17 Dataset, consisting of 8,099 annotated images containing 75,994 instances of 17 classes collected from diverse industrial environments, to train and validate the OD models. 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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Early Detection of Voltage Instability: A Transparent, Rule-Based Method for Cyber-Resilient Grids by Mahtab Khalilifar, Seyed Mohammad Shahrtash

“…Unlike traditional Phasor Measurement Unit (PMU) dependent methods vulnerable to cyber threats like data spoofing, the proposed approach uses PMU data only for initial system updates. It first validates measurements against the last trusted system state using consistency checks, corrects any discrepancies, and then bases stability decisions on inherent characteristics—power flow convergence and generator reactive power margins—ensuring cyber-resilient operation. …”
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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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WCMU-net: An Effective Method for Reducing the Impact of Speckle Noise in SAR Image Change Detection by Yu Duan, Kaimin Sun, Wangbin Li, Jinjiang Wei, Song Gao, Yingjiao Tan, Wanghui Zhou, Jun Liu, Junyi Liu

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Recurrent and convolutional neural networks in classification of EEG signal for guided imagery and mental workload detection by Filip Postepski, Grzegorz M. Wojcik, Krzysztof Wrobel, Andrzej Kawiak, Katarzyna Zemla, Grzegorz Sedek

“…The research reported herein aimed at verification whether it is possible to detect differences between those two states and to classify them using deep learning methods and recurrent neural networks such as EEGNet, Long Short-Term Memory-based classifier, 1D Convolutional Neural Network and hybrid model of 1D Convolutional Neural Network and Long Short-Term Memory. …”
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Effect of Omeprazole on Esophageal Microbiota in Dogs Detected Using a Minimally Invasive Sampling Method by Aditi Handa, Giovana S. Slanzon, Yoko M. Ambrosini, Jillian M. Haines

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A Spider Wasp Optimizer-Based Deep Learning Framework for Efficient Citrus Disease Detection by Abisola Olayiwola, Ajibola Oyedeji, Dare Olayiwola, Olufemi Awodoye, Olukunle Oyebode

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Mapping the bathymetry of coral islands with the Landsat series: Quantitative evaluation of the consistency and temporal change detection by Yongming Liu, Shilin Tang, Yuye Huang, Qidong Chen, Longhai Xiong, Sufen Wang

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Measures of healthcare decision-making ability in cognitive aging: a scoping review from the Advancing Reliable Measurement in Cognitive Aging and Decision-Making Ability (ARMCADA)... by Molly A. Mather, Molly A. Mather, Berivan Ece, Tatiana Karpouzian-Rogers, Emily H. Ho, Patricia Bucko, Elizabeth M. Dworak, Miriam A. Novack, Sarah Pila, Zahra Hosseinian, Janel Hanmer, Richard C. Gershon, Sandra Weintraub, Sandra Weintraub

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First Hitting Times on a Quantum Computer: Tracking vs. Local Monitoring, Topological Effects, and Dark States by Qingyuan Wang, Silin Ren, Ruoyu Yin, Klaus Ziegler, Eli Barkai, Sabine Tornow

“…Second, depending on the initial state, system parameters, and measurement protocol, the detection probability can be less than one or even zero, which is related to dark-state physics. …”
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Effects of anticonvulsant drug on liver enzymes among children in a tribal state of India: A longitudinal study by Pradeep Minz, Asha Oroan, Anit Kujur, Dilip K. Paswan, Alka R. Nag

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Detecting, Attributing, and Projecting Global Marine Ecosystem and Fisheries Change: FishMIP 2.0 by Julia L. Blanchard, Camilla Novaglio, Olivier Maury, Cheryl S. Harrison, Colleen M. Petrik, Denisse Fierro‐Arcos, Kelly Ortega‐Cisneros, Andrea Bryndum‐Buchholz, Tyler D. Eddy, Ryan Heneghan, Kelsey Roberts, Jacob Schewe, Daniele Bianchi, Jerome Guiet, P. Daniel van Denderen, Juliano Palacios‐Abrantes, Xiao Liu, Charles A. Stock, Yannick Rousseau, Matthias Büchner, Ezekiel O. Adekoya, Cathy Bulman, William Cheung, Villy Christensen, Marta Coll, Leonardo Capitani, Samik Datta, Elizabeth A. Fulton, Alba Fuster, Victoria Garza, Matthieu Lengaigne, Max Lindmark, Kieran Murphy, Jazel Ouled‐Cheikh, Sowdamini S. Prasad, Ricardo Oliveros‐Ramos, Jonathan C. Reum, Nina Rynne, Kim J. N. Scherrer, Yunne‐Jai Shin, Jeroen Steenbeek, Phoebe Woodworth‐Jefcoats, Yan‐Lun Wu, Derek P. Tittensor

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Infrared Small Target Detection via Modified Fast Saliency and Weighted Guided Image Filtering by Yi Cui, Tao Lei, Guiting Chen, Yunjing Zhang, Gang Zhang, Xuying Hao

“…Considering that many state-of-the-art (SOTA) methods are still unable to suppress various edges satisfactorily, especially under complex backgrounds, an effective infrared small target detection algorithm inspired by modified fast saliency and the weighted guided image filter (WGIF) is presented in this paper. …”
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Detection of Mycobacterium tuberculosis in sputum in patients coinfected with HIV / tuberculosis by various methods (literature review) by I. B. Viktorova, S. Yu. Degtyareva, E. I. Kulabukhova, E. N. Beloborodova, V. N. Zimina

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Comparative Analysis of Deep Learning-Based Feature Extractors for Change Detection in Automotive Radar Maps by Harihara Bharathy Swaminathan, Aron Sommer, Uri Iurgel, Andreas Becker, Martin Atzmueller

“…In this paper, we present a set of experiments involving state-of-the-art deep learning architectures based on both convolution (CNN) and attention mechanisms such as AlexNet, GoogLeNet, VGG, ResNet, Vision Transformer, and Shifted Windows Transformer as possible candidates for the feature extractor backbone module in the Siamese architecture to detect changes caused by the disappearance and appearance of construction zones. …”
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Enhancing Fault Detection in AUV-Integrated Navigation Systems: Analytical Models and Deep Learning Methods by Huibao Yang, Bangshuai Li, Xiujing Gao, Bo Xiao, Hongwu Huang

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Probing invisible neutrino decay with the first six detection units of KM3NeT/ORCA by The KM3NeT collaboration, S. Aiello, A. Albert, A. R. Alhebsi, M. Alshamsi, S. Alves Garre, A. Ambrosone, F. Ameli, M. Andre, L. Aphecetche, M. Ardid, S. Ardid, J. Aublin, F. Badaracco, L. Bailly-Salins, Z. Bardačová, B. Baret, A. Bariego-Quintana, Y. Becherini, M. Bendahman, F. Benfenati Gualandi, M. Benhassi, M. Bennani, D. M. Benoit, E. Berbee, V. Bertin, S. Biagi, M. Boettcher, D. Bonanno, A. B. Bouasla, J. Boumaaza, M. Bouta, M. Bouwhuis, C. Bozza, R. M. Bozza, H. Brânzaş, F. Bretaudeau, M. Breuhaus, R. Bruijn, J. Brunner, R. Bruno, E. Buis, R. Buompane, J. Busto, B. Caiffi, D. Calvo, A. Capone, F. Carenini, V. Carretero, T. Cartraud, P. Castaldi, V. Cecchini, S. Celli, L. Cerisy, M. Chabab, A. Chen, S. Cherubini, T. Chiarusi, M. Circella, R. Clark, R. Cocimano, J. A. B. Coelho, A. Coleiro, A. Condorelli, R. Coniglione, P. Coyle, A. Creusot, G. Cuttone, R. Dallier, A. De Benedittis, G. De Wasseige, V. Decoene, P. Deguire, I. Del Rosso, L. S. Di Mauro, I. Di Palma, A. F. Díaz, D. Diego-Tortosa, C. Distefano, A. Domi, C. Donzaud, D. Dornic, E. Drakopoulou, D. Drouhin, J.-G. Ducoin, P. Duverne, R. Dvornický, T. Eberl, E. Eckerová, A. Eddymaoui, T. van Eeden, M. Eff, D. van Eijk, I. El Bojaddaini, S. El Hedri, S. El Mentawi, V. Ellajosyula, A. Enzenhöfer, G. Ferrara, M. D. Filipović, F. Filippini, D. Franciotti, L. A. Fusco, S. Gagliardini, T. Gal, J. García Méndez, A. Garcia Soto, C. Gatius Oliver, N. Geißelbrecht, E. Genton, H. Ghaddari, L. Gialanella, B. K. Gibson, E. Giorgio, I. Goos, P. Goswami, S. R. Gozzini, R. Gracia, C. Guidi, B. Guillon, M. Gutiérrez, C. Haack, H. van Haren, A. Heijboer, L. Hennig, J. J. Hernández-Rey, A. Idrissi, W. Idrissi Ibnsalih, G. Illuminati, D. Joly, M. de Jong, P. de Jong, B. J. Jung, P. Kalaczyński, V. Kikvadze, G. Kistauri, C. Kopper, A. Kouchner, Y. Y. Kovalev, L. Krupa, V. Kueviakoe, V. Kulikovskiy, R. Kvatadze, M. Labalme, R. Lahmann, M. Lamoureux, G. Larosa, C. Lastoria, J. Lazar, A. Lazo, S. Le Stum, G. Lehaut, V. Lemaître, E. Leonora, N. Lessing, G. Levi, M. Lindsey Clark, F. Longhitano, F. Magnani, J. Majumdar, L. Malerba, F. Mamedov, A. Manfreda, A. Manousakis, M. Marconi, A. Margiotta, A. Marinelli, C. Markou, L. Martin, M. Mastrodicasa, S. Mastroianni, J. Mauro, K. C. K. Mehta, A. Meskar, G. Miele, P. Migliozzi, E. Migneco, M. L. Mitsou, C. M. Mollo, L. Morales-Gallegos, A. Moussa, I. Mozun Mateo, R. Muller, M. R. Musone, M. Musumeci, S. Navas, A. Nayerhoda, C. A. Nicolau, B. Nkosi, B. Ó Fearraigh, V. Oliviero, A. Orlando, E. Oukacha, D. Paesani, J. Palacios González, G. Papalashvili, V. Parisi, A. Parmar, E. J. Pastor Gomez, C. Pastore, A. M. Păun, G. E. Păvălaş, S. Peña Martínez, M. Perrin-Terrin, V. Pestel, R. Pestes, P. Piattelli, A. Plavin, C. Poirè, V. Popa, T. Pradier, J. Prado, S. Pulvirenti, C. A. Quiroz-Rangel, N. Randazzo, A. Ratnani, S. Razzaque, I. C. Rea, D. Real, G. Riccobene, A. Romanov, E. Ros, A. Šaina, F. Salesa Greus, D. F. E. Samtleben, A. Sánchez Losa, S. Sanfilippo, M. Sanguineti, D. Santonocito, P. Sapienza, M. Scarnera, J. Schnabel, J. Schumann, H. M. Schutte, J. Seneca, N. Sennan, P. Sevle, I. Sgura, R. Shanidze, A. Sharma, Y. Shitov, F. Šimkovic, A. Simonelli, A. Sinopoulou, B. Spisso, M. Spurio, D. Stavropoulos, I. Štekl, M. Taiuti, G. Takadze, Y. Tayalati, H. Thiersen, S. Thoudam, I. Tosta, Melo, B. Trocmé, V. Tsourapis, A. Tudorache, E. Tzamariudaki, A. Ukleja, A. Vacheret, V. Valsecchi, V. Van Elewyck, G. Vannoye, G. Vasileiadis, F. Vazquez de Sola, A. Veutro, S. Viola, D. Vivolo, A. van Vliet, E. de Wolf, I. Lhenry-Yvon, S. Zavatarelli, A. Zegarelli, D. Zito, J. D. Zornoza, J. Zúñiga, N. Zywucka

“…This paper focuses on the initial configuration of ORCA, referred to as ORCA6, which comprises six out of the foreseen 115 detection units of photosensors. …”
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Non-Invasive Techniques for Monitoring and Fault Detection in Internal Combustion Engines: A Systematic Review by Norah Nadia Sánchez Torres, Jorge Gomes Lima, Joylan Nunes Maciel, Mario Gazziro, Abel Cavalcante Lima Filho, Cicero Rocha Souto, Fabiano Salvadori, Oswaldo Hideo Ando Junior

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Application of change detection techniques driven by expert opinions for small-area studies in developing countries by Tanaka A. Mbendana, Anesu D. Gumbo, Simbarashe Jombo, Ephias Mugari, Evison Kapangaziwiri

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