A hybrid learning approach for MRI-based detection of alzheimer’s disease stages using dual CNNs and ensemble classifier by Sepideh Zolfaghari, Atra Joudaki, Yashar Sarbaz

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Advancing cardiovascular care through actionable AI innovation by Giuseppe Biondi-Zoccai, Arjun Mahajan, Dylan Powell, Mariangela Peruzzi, Roberto Carnevale, Giacomo Frati

“…This approach enables the safe development of treatment strategies in high-stakes domains where experimentation on live patients could be unethical or impractical. Notably, offline RL models hold the promise of optimizing decision-making in complex clinical settings, such as revascularization strategies for coronary artery disease. …”
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Artificial Intelligence in Glioblastoma—Transforming Diagnosis and Treatment by Alen Rončević, Nenad Koruga, Anamarija Soldo Koruga, Robert Rončević

“…Furthermore, machine learning models can integrate multimodal data to develop personalized treatments. …”
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A novel stemness-related lncRNA signature predicts prognosis, immune infiltration and drug sensitivity of clear cell renal cell carcinoma by Jia Liu, Lin Yao, Yong Yang, Jinchao Ma, Ruijian You, Ziyi Yu, Peng Du

“…Enrichment analysis was performed to explore the potential functions of SRmRNAs. Multiple machine learning algorithms were employed to construct a prognostic signature. …”
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Experimental substantiation of the composition of gelatin mass for obtaining capsules with essential oils by E. I. Molokhova, E. I. Ponomareva, Yu. V. Sorokina, I. V. Alekseeva, T. E. Ryumina, V. V. Novikova, A. L. Golovanenko, E. S. Berezina, Yu. M. Ladutko

“…When studying the rheological properties of model compositions, it was found that for all samples of gelatin masses there is a decrease in values of effective viscosity when the shear rate increases, which characterizes the tested samples as a structured dispersion system. …”
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Molecular subtype of recurrent implantation failure reveals distinct endometrial etiology of female infertility by Jing Yang, Lingtao Yang, Ying Zhou, Fengyang Cao, Hongkun Fang, Huan Ma, Jun Ren, Chunyu Huang, Lianghui Diao, Qiyuan Li, Qionghua Chen

“…A molecular classifier (MetaRIF) was developed using the optimal F-score from 64 combinations of machine learning algorithms. …”
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How does social support influence autonomous physical learning in adolescents? Evidence from a chain mediation and latent profile analysis. by Jiamin Zhu, Ziyou Huang, Xiaoping Meng, Zhiyong Zhang, Xiaotong Yuan

“…LPA identified four behavioral profiles-Highly Engaged (26.3%), Positively Regulated (35.7%), Selectively Participative (22.2%), and Passively Participative (15.8%)-with the four-class model demonstrating optimal fit (entropy = 0.921; AIC = 37,951.9; BIC = 38,081.6; BLRT p < .001; LMR p = .0235). …”
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Artificial intelligence in hospital infection prevention: an integrative review by Rabie Adel El Arab, Zainab Almoosa, May Alkhunaizi, May Alkhunaizi, Fuad H. Abuadas, Joel Somerville, Joel Somerville

“…Comparative data suggest that while both machine learning and deep learning approaches perform well, some deep learning models may offer slight advantages in complex data environments. …”
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Approach to knowledge management and the development of a multi-agent knowledge representation and processing system by E. I. Zaytsev, E. V. Nurmatova

“…The proposed approach to the development and use of intelligent software agents combines knowledge-based reasoning mechanisms with neural network models. The developed MKRPS structure and DKB control diagram includes described methods for optimizing the DKB, determining the availability of microservices used by the agents, ensuring the reliability assurance and coordinated functioning of the computing nodes of the system, as well as instrumental software tools to simplify the design and implementation of the MKRPS. …”
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AI for Predicting Pavement Roughness in Road Monitoring and Maintenance by Christina Plati, Angeliki Armeni, Charis Kyriakou, Dimitra Asoniti

“…These results confirm that ANNs are a useful tool for engineers by predicting future IRI values, as they help to extend pavement life and reduce overall maintenance costs. The integration of machine learning into pavement evaluation is a promising step forward in ongoing efforts to optimize pavement management.…”
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Spray Quality Assessment on Water-Sensitive Paper Comparing AI and Classical Computer Vision Methods by Inês Simões, Armando Jorge Sousa, André Baltazar, Filipe Santos

“…To achieve this, two approaches were explored: classical computer vision techniques and machine learning (ML) models (YOLOv8, Mask-RCNN, and Cellpose). …”
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Microsaccade selectivity as discriminative feature for object decoding by Salar Nouri, Amirali Soltani Tehrani, Niloufar Faridani, Ramin Toosi, Jalaledin Noroozi, Mohammad-Reza A. Dehaqani

“…These results contribute to neurobiological models, enhance human-machine interfaces, optimize experimental visual stimuli, and deepen understanding of microsaccades’ role in object decoding.…”
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Implementation of MF block in CNN for advanced REB fault diagnosis by M. Pandiyan, Narendiranath Babu T.

“…Using the Balance Cross-Entropy (BCE) loss function for training has helped the model optimize prediction accuracy by minimizing the difference between the actual class and the predicted class probabilities. …”
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From spectrum to yield: advances in crop photosynthesis with hyperspectral imaging by D. PANDA, S. MOHANTY, S. DAS, J. SENAPATY, D.B. SAHOO, B. MISHRA, M.J. BAIG, L. BEHERA

“…Ensuring global food security requires noninvasive techniques for optimizing resource use and monitoring crop health. …”
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Industrial Design of High Voltage Flexible DC Converter Valve by Li QIAO, Jian XIE, Yunpeng LI, Chunyi GUO

“…Based on analyzing the design of the sub-module, valve module and valve tower of a ±320 kV flexible DC converter valve, a reasonable design method is proposed from the aspects of function, structure, modeling, man-machine, assembly, cost, coating and so on. …”
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AI-Powered Mobile App for Nuclear Cataract Detection by Alicja Anna Ignatowicz, Tomasz Marciniak, Elżbieta Marciniak

“…The trained models were optimized for mobile deployment, enabling real-time analysis of eye images captured with the device camera or selected from local storage. …”
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Neural Network-Based Analysis of Forest Fire Aftermath in Class-Imbalanced Remote Sensing Earth Image Classification by V. Hnatushenko, V. Hnatushenko, V. Hnatushenko, D. Soldatenko

“…Today's agricultural sector is characterized by an important role of accurate mapping and monitoring of agriculture with the help of satellite imagery, which allows to optimize the use of resources, to plan crop areas and to forecast productivity. …”
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Determination of Kinematic Hardening Parameters in W-Temper Forming of 6082 Aluminum Alloy by Dessie Jemal Ebrahim, Rónai László, Lukács Zsolt

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Dataset exploring the atomic scale structure and ionic dynamics of polyanion sodium cathode materials by Martin Hoffmann Petersen, Jin Hyun Chang, Arghya Bhowmik, Juan Maria García Lastra

“…Using cathode specific subsets of this dataset to train ML models, we demonstrate that we can create ML interatomic potentials that reproduces the DFT results of the polyanion sodium cathode materials.…”
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Challenges and Opportunities in Remote Sensing-Based Fuel Load Estimation for Wildfire Behavior and Management: A Comprehensive Review by Arnick Abdollahi, Marta Yebra

“…Fuel load is a crucial input in wildfire behavior models and a key parameter for the assessment of fire severity, fire flame length, and fuel consumption. …”
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