Towards Secure and Efficient Farming Using Self-Regulating Heterogeneous Federated Learning in Dynamic Network Conditions by Sai Puppala, Koushik Sinha

“…Through a comprehensive assessment of computational power, energy efficiency, and latency, our system intelligently classifies devices, significantly enhancing the overall efficiency of federated learning processes. …”
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Empowering indigenous women in Guatemala: a case study of the role of Digital Community Centers in enhancing digital literacy and changing gender perspectives in Northern Huehueten... by Nereyda Y. Ortiz Osejo, Susana Arrechea, Alejandro Alvarado

“…Participants who attended the positive masculinity training—both men and women—reported more equitable attitudes toward women's leadership and decision-making.DiscussionDespite these gains, participants stressed ongoing barriers—most notably limited infrastructure, constrained financial resources, and insufficient institutional support—that hamper the long-term viability of the DCCs. …”
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A comparative study of interpolation methods for the development of ore distribution maps by Mahinaz M. Shawky

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Conv1D-LSTM: Autonomous Breast Cancer Detection Using a One-Dimensional Convolutional Neural Network With Long Short-Term Memory by Mitanshi Rastogi, Meenu Vijarania, Neha Goel, Akshat Agrawal, Cresantus N. Biamba, Celestine Iwendi

“…Additionally, the proposed model’s versatility allows it to handle diverse data types, achieve better generalization and lower computational time. The model offers a high level of interpretability, which is crucial for medical professionals to understand and trust the decision-making process of the system. …”
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Artificial Intelligence in Revolutionizing Kidney Care and Beyond: Kid-AI Revolution by Kounaina Khan, Farhan Zameer, Pratheek Jain, Ravi KR, Vidya Niranjan, Manoj S, Ravish H, Subrahmanya Padyana

“…Recent advancements in artificial intelligence (AI) have significantly impacted the diagnosis and treatment of kidney diseases, offering novel approaches for precise quantitative assessments of nephropathology. The collaboration between computer engineers, renal specialists, and nephropathologists has led to the development of AI- assisted technology, presenting promising avenues for renal pathology diagnoses, disease prediction, treatment effectiveness assessment, and outcome prediction. …”
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Unlocking the potential of digital pathology: Novel baselines for compression by Maximilian Fischer, Peter Neher, Peter Schüffler, Sebastian Ziegler, Shuhan Xiao, Robin Peretzke, David Clunie, Constantin Ulrich, Michael Baumgartner, Alexander Muckenhuber, Silvia Dias Almeida, Michael Gőtz, Jens Kleesiek, Marco Nolden, Rickmer Braren, Klaus Maier-Hein

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Classifying vocal responses of broilers to environmental stressors via artificial neural network by T. Lev-ron, Y. Yitzhaky, I. Halachmi, S. Druyan

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New Approach Single Valued Neutrosophic Sets for Teaching Quality Challenges Evaluation in College Public English Broad Impacts by Xiao Ma

“…This approach ensures that valuable information is not lost during the evaluation process. To improve decision-making in multi-criteria decision-making (MCDM) problems, this study introduces a new integrated framework that combines the EDAS method with the MEREC method for criteria weight computation under the SVNS environment. …”
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Improving BI-RADS Mammographic Classification With Self-Supervised Vision Transformers and Cascade Learning by Abdelrahman Abdallah, Mahmoud Salaheldin Kasem, Ibrahim Abdelhalim, Norah Saleh Alghamdi, Ayman El-Baz

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Centralized and Decentralized Signal Control with Short-Term Origin-Destination Demand for Network Traffic by Can Zhang, Tony Z. Qiu, Amy Kim

“…Because the optimization of large-scale network traffic signals can involve sizeable numbers of decision variables and nonlinear constraints, making it a nondeterministic polynomial time (NP) complete problem, we further decompose the centralized system into a decentralized system where the network is divided into subnetworks. …”
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Fermatean fuzzy distance and Sugeno–Weber operators-based SPC-MARCOS approach for sustainable supplier evaluation in the healthcare supply chain by Adel Fahad Alrasheedi, Pratibha Rani, Arunodaya Raj Mishra, Ahmad M. Alshamrani, Fausto Cavallaro

“…Abstract The present work proposes a new decision support tool for assessing the sustainable suppliers in the healthcare supply chain. …”
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A deep learning model based on chest CT to predict benign and malignant breast masses and axillary lymph node metastasis by Jingxiang Sun, Xiaoming Xi, Mengying Wang, Menghan Liu, Xiaodong Zhang, Haiyan Qiu, Youxin Zhang, Taian Fu, Yanan Du, Wanqing Ren, Dawei Wang, Guang Zhang

“…In conclusion, these deep learning models show strong diagnostic potential for both breast mass classification and ALNM prediction, offering a valuable tool for improving clinical decision-making. …”
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Calibration Of Regional Vulnerability Functions By Applying Earthquake Events Database by Nina I. Frolova, Valery I. Larionov, Jean Bonnin, Sergey P. Sushchev, Alexander N. Ugarov

“…The database is assigned to provide analytical support for decision making in case of an emergency situation, including tools for mathematical simulation of hazardous excitation, the response of elements at risk to excitation and loss generation. …”
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Revisiting the approaches to DNA damage detection in genetic toxicology: insights and regulatory implications by Sulaiman Mohammed Alnasser

“…Standardization efforts, including the establishment of common endpoints across testing approaches, are pivotal for enhancing comparability and fostering consensus in toxicological assessments. Initiatives like ToxCast exemplify the successful incorporation of HTS data into regulatory decision-making, demonstrating that well-interpreted in vitro results can align with in vivo outcomes. …”
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Sustainable crop recommendation system using seasonally adaptive recursive spectral convolutional neural network for responsible agricultural production by Gopinath Selvaraj, Sakthivel Kuppusamy, Menaka Aswathanarayanan

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Enhance differential privacy mechanisms for clinical data analysis using CNNs and reinforcement learning by Rakesh Batchala, Priyank Jain, Manasi Gyanchandani, Sanyam Shukla, Rajesh Wadhvani

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Privacy, ethics, transparency, and accountability in AI systems for wearable devices by Petar Radanliev, Petar Radanliev

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Fast anomalous traffic detection system for secure vehicular communications by Qasem Abu Al-Haija, Abdulaziz A. Alsulami

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Comparison of the effects of transcranial direct current stimulation combined with different rehabilitation interventions on motor function in people suffering from stroke-related... by Kaiqi Zheng, Liang Guo, Weidong Liang, Pengcheng Liu

“…The objective is to determine the most effective tDCS-based rehabilitation approach and offer valuable evidence to guide clinical decision-making.MethodsThis study included randomized controlled trials (RCTs) published before September 23, 2024. …”
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Clinicians’ Agreement on Extrapulmonary Radiographic Findings in Chest X-Rays Using a Diagnostic Labelling Scheme by Lea Marie Pehrson, Dana Li, Alyas Mayar, Marco Fraccaro, Rasmus Bonnevie, Peter Jagd Sørensen, Alexander Malcom Rykkje, Tobias Thostrup Andersen, Henrik Steglich-Arnholm, Dorte Marianne Rohde Stærk, Lotte Borgwardt, Sune Darkner, Jonathan Frederik Carlsen, Michael Bachmann Nielsen, Silvia Ingala

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