Efficient Gearbox Fault Diagnosis Based on Improved Multi-Scale CNN with Lightweight Convolutional Attention by Bin Yuan, Yaoqi Li, Suifan Chen

“…In this paper, we propose an intelligent diagnosis framework based on Empirical Mode Decomposition and multimodal feature co-optimization and innovatively construct a fault diagnosis model by fusing a multi-scale convolutional neural network and a lightweight convolutional attention model. …”
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Can Deep Learning Models Acquire Specialist Knowledge? Identifying Carotid Bruits in Type 2 Diabetes Using an Electronic Stethoscope by Aref Miri Rekavandi, Mohammed Bennamoun, Farid Boussaid, Wendy A. Davis, Timothy M. E. Davis

“…This suggests the inadequacy of AI-driven systems in accurately detecting carotid bruits in the present participant sample. …”
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Interactive Mitigation of Biases in Machine Learning Models for Undergraduate Student Admissions by Kelly Van Busum, Shiaofen Fang

“…These AI models were analyzed to detect biases they may carry with respect to three variables chosen to represent sensitive populations: gender, race, and first-generation college students. …”
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Power Quality 24 h Verification in Smart Load Scheduling Based on Differentiate, Deep, and Assembly Statistics in NWP Processing by Ladislav Zjavka

“…Statistical artificial intelligence (AI) helps model the characteristics of undefined systems in local atmospheric and terrain uncertainties. …”
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High-performance ratiometric optical oxygen sensor fabricated via 3Dprinted silicone for biomedical applications by Rispandi, Cheng-Shane Chu, Abdulfatah Abdu Yusuf, Muhammad Imam Ammarullah

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AI-Assisted identification of sex-specific patterns in diabetic retinopathy using retinal fundus images. by Parsa Delavari, Gulcenur Ozturan, Eduardo V Navajas, Ozgur Yilmaz, Ipek Oruc

“…Here we examine whether DR manifests differently in male and female patients, using a dataset of retinal images and leveraging convolutional neural networks (CNN) integrated with explainable artificial intelligence (AI) techniques. To minimize confounding variables, we curated 2,967 fundus images from a larger dataset of DR patients acquired from EyePACS, matching male and female groups for age, ethnicity, severity of DR, and hemoglobin A1C levels. …”
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Increasing Mosquito Abundance Under Global Warming by Gokul Nair, Hong‐Yi Li, Jon Schwenk, Kaitlyn Martinez, Carrie Manore, Chonggang Xu

“…Existing models typically focus on precipitation and temperature and often overlook further impacts of hydrological variables within mosquito modeling. In this study, we developed an artificial intelligence‐based model for mosquito dynamics, explicitly accounting for different hydrological variables, such as precipitation, soil moisture and streamflow. …”
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The continuous expansion and spread of human brucellosis in the Xinjiang Uygur Autonomous Region: evidence from epidemiological and strains’ genotyping-based analysis by Zhiguo Liu, Bo Li, Chuizhao Xue, Min Yuan, Zhenjun Li, Junling Sun, Canjun Zheng

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Non-Invasive Position Measurement of a Spatial Pendulum Using Infrared Distance Sensors by Marco Carpio, Julio Zambrano, Roque Saltaren, Juan Cely, David Carpio

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Lessons learned from the co-development of operational climate forecast services for vineyards management by N. Pérez-Zanón, V. Agudetse, E. Baulenas, P.A. Bretonnière, C. Delgado-Torres, N. González-Reviriego, A. Manrique-Suñén, A. Nicodemou, M. Olid, Ll. Palma, M. Terrado, B. Basile, F. Carteni, A. Dente, C. Ezquerra, F. Oldani, M. Otero, F. Santos-Alves, M. Torres, J. Valente, A. Soret

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A Thermal Cycler Based on Magnetic Induction Heating and Anti-Freezing Water Cooling for Rapid PCR by Yaping Xie, Qin Jiang, Chang Chang, Xin Zhao, Haochen Yong, Xingxing Ke, Zhigang Wu

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Magnitude and Impact of Hallucinations in Tabular Synthetic Health Data on Prognostic Machine Learning Models: Validation Study by Lisa Pilgram, Samer El Kababji, Dan Liu, Khaled El Emam

“… BackgroundGenerative artificial intelligence (AI) for tabular synthetic data generation (SDG) has significant potential to accelerate health care research and innovation. …”
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A Consistency-Aware Hybrid Static–Dynamic Multivariate Network for Forecasting Industrial Key Performance Indicators by Jiahui Long, Xiang Jia, Bingyi Li, Lin Zhu, Miao Wang

“…The proposed method offers a practical and generalizable solution for intelligent KPI forecasting and decision support in industrial engineering applications.…”
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Integrating high dimensional quadratic regression with penalties based predictive modeling for hydro power plants accurate tariff prediction by Ritesh Dash, Anupa Sinha, Abinash Mahapatro, Bhabasis Mohapatra, Binod Kumar Sahu

“…A total of 12 features including operational variables and nonlinear combinations are pre-processed using outlier detection normalization and interpolation techniques. …”
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Bayesian spatiotemporal modelling and mapping of malaria risk among children under five years of age in Ghana by Wisdom Kwami Takramah, Yaw Asare Afrane, Justice Moses K. Aheto

“…Hot spot DHS clusters (enumeration areas) with a significantly high relative risk of malaria among children aged 6–59 months were repeatedly detected in the Ashanti region between 2014 and 2019. …”
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Machine Learning for Fire Safety in the Built Environment: A Bibliometric Insight into Research Trends and Key Methods by Mehmet Akif Yıldız

“…The research categories included evacuation and emergency management, fire detection, and early warning systems, fire dynamics and spread prediction, fire load, and material risk analysis, intelligent systems and cyber security, fire prediction, and risk assessment. …”
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A Comprehensive Review of Crop Chlorophyll Mapping Using Remote Sensing Approaches: Achievements, Limitations, and Future Perspectives by Xuan Li, Bingxue Zhu, Sijia Li, Lushi Liu, Kaishan Song, Jiping Liu

“…Chlorophyll absorbs light energy and converts it into chemical energy, making it a crucial biochemical parameter for monitoring vegetation health, detecting environmental stress, and predicting physiological states. …”
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The implications of mutations in multiple genes associated with ethambutol resistance among multidrug-resistant tuberculosis isolates from China by Ma-chao Li, Wei Wang, Tong-yang Xiao, Hai-can Liu, Shi-qiang Lin, Hao Hang, Xiang-long Bo, Xiao-tian Nan, Cheng Qian, Xue-ting Fan, Xiu-qin Zhao, Gui-lian Li, Kang-Lin Wan, Li-li Zhao

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Assessing virtual reality presence through physiological measures: a comprehensive review by Danping Wang, Danping Wang, Yunchao Peng, Yunchao Peng, Lise Haddouk, Lise Haddouk, Nicolas Vayatis, Nicolas Vayatis, Pierre-Paul Vidal, Pierre-Paul Vidal, Pierre-Paul Vidal, Pierre-Paul Vidal

“…Firstly, the very nature of the neurophysiological variables recorded to detect presence: they are also recommended for quantifying stress and mental load, to name but a few behavioral characteristics. …”
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AI drives the assessment of lung cancer microenvironment composition by Enzo Gallo, Davide Guardiani, Martina Betti, Brindusa Ana Maria Arteni, Simona Di Martino, Sara Baldinelli, Theodora Daralioti, Elisabetta Merenda, Andrea Ascione, Paolo Visca, Edoardo Pescarmona, Marialuisa Lavitrano, Paola Nisticò, Gennaro Ciliberto, Matteo Pallocca

“…We describe here a pilot study employing artificial intelligence (AI) in the assessment of TILs and other cell populations, intending to reduce the inter- or intra-observer variability that commonly characterizes this evaluation. …”
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