Fresh Tea Leaf-Grading Detection: An Improved YOLOv8 Neural Network Model Utilizing Deep Learning by Zejun Wang, Yuxin Xia, Houqiao Wang, Xiaohui Liu, Raoqiong Che, Xiaoxue Guo, Hongxu Li, Shihao Zhang, Baijuan Wang

“…This approach integrates a Hierarchical Vision Transformer using Shifted Windows to replace segments of the original YOLOv8’s network architecture, thereby alleviating the computational load of dense image processing tasks and reducing computational expenses. …”
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From intensive care monitors to cloud environments: a structured data pipeline for advanced clinical decision supportResearch in context by Sijm H. Noteboom, Eline Kho, Maria Galanty, Clara I. Sánchez, Frans C.P. ten Bookum, Denise P. Veelo, Alexander P.J. Vlaar, Björn J.P. van der Ster

“…Summary: Background: Clinical decision-making is increasingly shifting towards data-driven approaches and requires large databases to develop state-of-the-art algorithms for diagnosing, detecting and predicting diseases. …”
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Configurational Comparison of a Binary Logic Transmission Unit Applicable to Agricultural Tractor Hydro-Mechanical Continuously Variable Transmissions and Its Wet Clutch Optimizati... by Wenjie Li, Zhun Cheng, Mengchen Yang

“…The WOA improved the spread value in the GRNN algorithm, establishing a GRNN to predict the optimal range for wet clutch design values in BLT-U; the model validation showed an average correlation coefficient of 0.92 for speed curves and an average relative error of 5.58% for dynamic loads. …”
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Assessing Terrain Effect on Evapotranspiration Using the SEBAL Model in Mountainous Regions by Wei Fu, Bo-Hui Tang, Xianguang Ma, Xinming Zhu, Yingyun Li, Lijia Cheng

“…In this study, we coupled a surface net radiation model accounting for topographic effect, with the Surface Energy Balance Algorithm for Land (SEBAL) to estimate daily ET and analyze the impact of terrain on ET. …”
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Differentiation of Atypical Lipomatous Tumors from Lipomas: Our Experience with Visual Analysis of Conventional Magnetic Resonance Imaging by Luz Maria Moran, Chao Yuan Li Cai, Alberto Ramirez, Ana Royuela

“…We are looking for a management algorithm with the visual analysis of magnetic resonance images in these two fatty soft tissue tumors that allow us to avoid some biopsies. …”
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Unveiling Gig Economy Trends via Topic Modeling and Big Data by Oya Ütük Bayılmış, Serdar Orhan, Cüneyt Bayılmış

“…Understanding public perceptions of this shift is critical for promoting social good and informing equitable policy. …”
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SOE: A Multi-Objective Traffic Scheduling Engine for DDoS Mitigation with Isolation-Aware Optimization by Mingwei Zhou, Xian Mu, Yanyan Liang

“…These objectives are combined into a composite scalarized loss function with soft constraints, prioritizing a BTAR while maintaining flexibility. …”
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Artificial Intelligence for data modeling in triboelectric nanogenerators by Chenjia Li, Ali Matin Nazar

“…Application cases discussed include AI-powered triboelectric smart socks achieving 96.67 % activity recognition accuracy, soft robotic grippers with 98.1 % object identification precision, and wearable pulse sensors for continuous blood pressure monitoring using personalized machine learning algorithms. …”
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Synchronous PWM Regulation of Inverters of Drive Installation with Two Stator Windings of Electrical Motor by Oleschuk V.

“…This goal is achieved by including in the control scheme of the system of functional dependencies linking voltage magnitude on stator windings of motor with the corresponding pole voltages of two inverters controlled by algorithms of synchronous multi-zone pulsewidth modulation (PWM), as well as by including in control scheme of current values of specialized phase shift between control signals of two inverters. …”
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Reliable smart models for estimating frictional pressure drop in two-phase condensation through smooth channels of varying sizes by M. A. Moradkhani, S. H. Hosseini, Mengjie Song, A. Abbaszadeh

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Novel concept for the healthy population influencing factors by Yuhao Shen, Jichao Wang, Lihua Ma, Huizhe Yan

“…Integrating data-driven methods and emphasizing a shift towards correct, effective, and impactful public health management provides a robust framework for understanding and addressing the complex health issues faced by mobile populations.…”
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Modeling Energy Communities: A Case Study of Quantum Approximate Optimization on a Superconducting Processor by Mateo Alonso, Guillermo Rubinos Rodriguez, Pablo Diez-Valle, Ana Garbayo, Xela Garcia-Santiago, Gonzalo Blazquez Gil

“…This work explores the use of variational quantum algorithms to optimize energy distribution among users in energy communities, using real data from a community lab. …”
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Robust Current Sensing in Rectangular Conductors: Elliptical Hall-Effect Sensor Array Optimized via Bio-Inspired GWO-BP Neural Network by Yue Tang, Jiajia Lu, Yue Shen

“…Accurate current sensing in rectangular conductors is challenged by mechanical deformations, including eccentricity (X/Y-axis shifts) and inclination (Z-axis tilt), which distort magnetic field distributions and induce measurement errors. …”
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Furniture design based on cultural orientation: a thematic review by Wenhong Huang, Ahmad Rizal Abdul Rahman, Sarjit S. Gill, Raja Ahmad Azmeer Raja Ahmad Effendi

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Creativity and Awareness in Co-Creation of Art Using Artificial Intelligence-Based Systems in Heritage Education by Francesca Condorelli, Francesca Berti

“…The teaching addresses a critical approach to AI, such as dataset constraints, sustainability, and authorship, and focuses on text-to-image algorithms and artistic co-creation, namely, the shifting role of the artist from sole creator to initiator/collaborator shaping the AI system’s output. …”
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Optimal Structure to Maximize Torque per Volume for the Consequent-Pole PMSM and Investigating the Temperature Effect by Alireza Hosseinpour, Ahmed Abbas, Mahmoud Oukati Sadegh, Atif Iqbal, Aymen Flah, Lukas Prokop, Enas Ali, Ramy N. R. Ghaly

“…Therefore, to maximize the torque/volume ratio, four metaheuristic optimization algorithms, including Genetic Algorithm (GA), Particle Swarm Optimization (PSO), Differential Evolution (DE), and Teaching Learn Base Optimization (TLBO), have been implemented, and the mentioned index is optimized. …”
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Hybridization of the Snake Optimizer and Particle Swarm Optimization for continuous optimization problems by Abdülkadir Pektaş, Mehmet Hacıbeyoğlu, Onur İnan

“…To evaluate the applicability of the proposed SO-PSO method, it was evaluated on continuous numerical problems (CEC-2017) and seven real-world engineering problems, benchmarking its performance against contemporary metaheuristic algorithms, including WOA, PSO, GWO, EO, LSHADE, and SO. …”
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Optimizing Non-Terrestrial Hybrid RF/FSO Links With Reinforcement Learning: Navigating Through Clouds by Abdullateef Almohamad, Mostafa Ibrahim, Sabit Ekin, Mazen Hasna, Saud Althunibat, Khalid Qaraqe

“…In the pursuit of ubiquitous broadband connectivity, there has been a significant shift towards the vertical expansion of communication networks into space, particularly through the exploitation of low Earth orbit (LEO) satellite constellations, which are favored for their relatively low latency. …”
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Spatiotemporal heterogeneity of the ecological civilization in the Yangtze River economic belt by Li Ma, Huiyuan Zhang, Xiaojie Meng, Qing Lu

“…In this study, 118 YREB cities are explored, and a novel weight calculation method that combines a genetic algorithm with a dynamic deviation maximization model (GA-DM) is introduced to ensure objectivity. …”
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Turning Points in the Core–Periphery Displacement of Systemic Risk in the Eurozone: Constrained Weighted Compositional Clustering by Anna Maria Fiori, Germà Coenders

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