Enhanced Collaborative Edge Intelligence for Explainable and Transferable Image Recognition in 6G-Aided IIoT by Chen Chen, Ze Sun, Jiale Zhang, Junwei Dong, Peng Zhang, Jie Guo

“…However, the existing algorithms often neglect the explainability of image recognition processes and fail to address the collaborative potential between edge computing servers. …”
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Integrating IT and OT for Cybersecurity: A Stochastic Optimization Approach via Attack Graphs by Gonzalo Martinez Medina, Krystel K. Castillo-Villar, Tanveer Hossain Bhuiyan

“…Cybersecurity has become imperative as manufacturing systems continue to increase connectivity through Industrial Internet of Things (IIoT) devices. …”
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Social Well-being of the Megalopolis Population as an Integral Indicator by P. P. Deriugin, L. A. Lebedintseva, O. V. Yarmak, Shi Yi, E. A. Kamyshina

“…The experience of empirical sociological research is presented, showing methodological algorithms for system fixation and processing of the main indicators-indicators.Methodology and sources. …”
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Predicting Diabetic Retinopathy and Nephropathy Complications Using Machine Learning Techniques by D. R. Manjunath, J. J. Lohith, S. Selva Kumar, Abhijit Das

“…Diabetes and its complications, especially Diabetic Retinopathy (DR) and Diabetic Nephropathy (DN) is a big challenge to the global healthcare system and needs accurate predictive models to help in early diagnosis and intervention. …”
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Risk assessment of the top 50 drugs associated with drug-induced orthostatic hypotension: a disproportionality analysis of the FAERS and JADER databases by Gaocan Ren, Xiansu Chi, Pingping Huang, Jinhui Zhang, Yanqiu Ding, Lijun Guo, Qinghua Shang, Xiaochang Ma

“…Abstract To use the FDA Adverse Event Reporting System (FAERS) database to identify drugs associated with orthostatic hypotension. …”
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Predicting Nottingham grade in breast cancer digital pathology using a foundation model by Jun Seo Kim, Jeong Hoon Lee, Yousung Yeon, Doyeon An, Seok Jun Kim, Myung-Giun Noh, Suehyun Lee

“…Abstract Background The Nottingham histologic grade is crucial for assessing severity and predicting prognosis in breast cancer, a prevalent cancer worldwide. Traditional grading systems rely on subjective expert judgment and require extensive pathological expertise, are time-consuming, and often lead to inter-observer variability. …”
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Application of the D5 discipline from the G8D method in solving quality management problems for NOK parts by Joanna Cyganiuk, Piotr Kuryło, Ali Al-Zubiedy, Magdalena Mazur

“…In construction literature, a similar approach is applied in the quality management of industrial prefabricates, where systematic defect analysis leads to the optimization of production processes. …”
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Research of Regenerative Braking Strategy for Electric Vehicles by Van Nghia Le, Hoang Phuc Dam, Trong Hoan Nguyen, S. V. Kharitonchik, V. A. Kusyak

“…The carried out investigations confirm the available significant potential for improving the efficiency of the electric vehicles usage by developing the control strategy and algorithms of the braking energy regeneration.…”
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Artificial intelligence may affect diversity: architecture and cultural context reflected through ChatGPT, Midjourney, and Google Maps by Ingrid Campo-Ruiz

“…These AI perspectives on cultural context can broaden the understanding of the urban environment and facilitate a deeper insight into the prevailing ideas behind the data that train these algorithms. Results suggest that the generative AI systems analysed convey a narrow view of the cultural context, prioritising buildings and a sense of cultural context that is curated, exhibited and commercialised. …”
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An Intelligent LoRaWAN-Based IoT Device for Monitoring and Control Solutions in Smart Farming Through Anomaly Detection Integrated With Unsupervised Machine Learning by Maram Fahaad Almufareh, Mamoona Humayun, Zulfiqar Ahmad, Asfandyar Khan

“…Predominantly, the study also indicates precision in the temperature variation prediction model through the use of the predictive model based on the linear regression and random forest algorithms. This improves smart farming practices developed for precision agriculture in terms of efficiency, productivity, and sustainability.…”
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Concept for Parameter Design and Optimization of Surface Acoustic Wave Devices by A. S. Koigerov, A. V. Korlyakov

“…A concept for creating a system of automated design of SAW filters with specified frequency characteristics was developed. …”
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Numerical modeling and neural network optimization for advanced solar panel efficiency by Udit Mamodiya, Indra Kishor, Mohammed Amin Almaiah, Monia Hamdi, Rami Shehab, Tayseer Alkhdour

“…Conventionally, such optimization techniques—MPPT (Maximum Power Point Tracking) along with heuristic algorithms—suffer significantly from slow adaptability and track sub optimality under dynamic environments. …”
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Transfer Learning based Image Classification of Diseased Tomato Leaves with Optimal Fine-Tuning combined with Heat Map Visualization by Sivakumar Palanıswamy, Vijayakumar Vaıthyam Rengarajan, Sandhya Devi Ramıah Subburaj

“…The objective of the work is to develop Tomato Disease Classification System using a transfer learning approach for ten tomato disease classes of the PlantVillage dataset downloaded from the Kaggle platform. …”
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A Comparison of Effective doses for the 16, 64, and 128-slice Computed Tomography Scanners: A First Health Cluster Study in Riyadh by Mansour Al Moudi, Sultan Al Dosari, Abdullah Ibrahim Al Hussain, Mazen Abounassif

“…When performing routine CT scans with low-end CT scanner systems, dose-reduction strategies should be considered.…”
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Prediction of suspended sediment concentration in fluvial flows using novel hybrid deep learning model by Sadra Shadkani, Yousef Hemmatzadeh, Amirreza Pak, Soroush Abolfathi

“…Accurately predicting suspended sediment concentration (SSC) in fluvial systems is essential for environmental monitoring, flood management, and riverine engineering applications. …”
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Acoustic-Emergent Phonology in the Amplitude Envelope of Child-Directed Speech. by Victoria Leong, Usha Goswami

“…Across different languages, a relationship between amplitude envelope sensitivity and phonological development has been found, suggesting that children may make use of amplitude modulation (AM) patterns within the envelope to develop a phonological system. Here we present the Spectral Amplitude Modulation Phase Hierarchy (S-AMPH) model, a set of algorithms for deriving the dominant AM patterns in child-directed speech (CDS). …”
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Weighted Content Similarity Feature for Software Architecture Anti-Patterns Prediction by Somayeh Kalhor, Mohammad Reza Keyvanpour

“…As user needs change frequently over time, software systems must evolve; therefore, increased software complexity inevitably violates software engineering principles. …”
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swPHoToNs: Toward trillion‐body‐scale cosmological N‐body simulations on Sunway TaihuLight supercomputer by Zhao Liu, Qiao Wang, Xiaojing Lv, Xu Liu, Hongsong Meng, Guanghui Zhu, Liang Gao, Haohuan Fu, Guangwen Yang

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Performance Estimation of Low Power and Area-Efficient Parallel Pipelined FFT by Surya P, Arunachalaperumal C, Dhilipkumar S

“…IoT and embedded systems are beneficial for low-power systems as BI reduces power consumption and switching activity.…”
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Differences in parameter estimates derived from various methods for the ORYZA (v3) Model by Jun-wei TAN, Qing-yun DUAN, Wei GONG, Zhen-hua DI

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