Application of adaptive virtual synchronous generator based on improved active power loop in photovoltaic storage systems by Youzhuo Zheng, Yutao Xu, Yekui Yang, Long Hua, Yuqing Yang

“…Firstly, the mathematical models and control methods of photovoltaic cells and batteries are introduced. …”
Get full text

Detection and Recognition Algorithm for 100-Meter Signage in Urban Rail Transit Based on Connected Domain Segmentation and SVM by YUAN Xiaojun, TIAN Ye, SU Zhen, LIU Xinwu, LI Chen, ZHANG Huiyuan

Get full text

Machine Learning based estimation of Chlorophyll and Flavonoid content in Bitter Leaf using Color and GLCM Texture Features by Retno Damayanti, Yusuf Hendrawan, Sandra Sandra

“…Its potential applications extend to precision agriculture enabling real-time monitoring of plant health, early stress detection, and optimized nutrient management as well as to the pharmaceutical industry for improving the quality control of herbal medicines. …”
Get full text

Biomechanical Evaluation of Attachment and Trimline Modifications in Maxillary Molar Distalization Using Clear Aligners by Tulca Büyükpatır Türk, Ebru Küçükkaraca

“…Upper molar distalization using clear aligners requires optimal force direction and control to ensure effective and predictable tooth movement. …”
Get full text

A Method of Locating and Measuring Train Wheel Tread Defects Based on YOLOv3-tiny by JIN Kairong, WANG Junping, CHEN Shenglan

Get full text

From digitized whole‐slide histology images to biomarker discovery: A protocol for handcrafted feature analysis in brain cancer pathology by Xuanjun Lu, Yawen Ying, Jing Chen, Zhiyang Chen, Yuxin Wu, Prateek Prasanna, Xin Chen, Mingli Jing, Zaiyi Liu, Cheng Lu

“…In the external validation cohort, the optimal model combination achieved a generalization performance with an AUC of 0.594. …”
Get full text

Enhancing Airport Traffic Flow: Intelligent System Based on VLC, Rerouting Techniques, and Adaptive Reward Learning by Manuela Vieira, Manuel Augusto Vieira, Gonçalo Galvão, Paula Louro, Alessandro Fantoni, Pedro Vieira, Mário Véstias

“…The system also enables accurate indoor localization without relying on a Global Positioning System (GPS), supporting seamless movement and operational optimization. By combining VLC, adaptive AI models, and rerouting strategies, the proposed approach contributes to safer, more efficient, and human-centered airport mobility.…”
Get full text

The impact of land use/land cover change on ecosystem services in Golestan province by Hamidreza Kamyab, Nasim Shabani

“…Markov Chain Analysis is a convenient tool for modeling land use change, when changes and processes in the landscape are difficult to describe. …”
Get full text

Nuclear Excitation of 181Ta Induced by High Power Femtosecond Laser Pulses by XU Yongsheng1, HE Chuangye1, LAN Xiaofei2, ZHAO Baozhen1

“…The findings contribute to a better understanding of the underlying physical mechanisms and highlight the potential for further optimization of experimental methods and theoretical models. …”
Get full text

Performance of machine learning algorithms to evaluate the physico-mechanical properties of nanoparticle panels by Derrick Mirindi, James Hunter, David Sinkhonde, Tajebe Bezabih, Frederic Mirindi

“…This data-driven framework enables targeted nanoparticle selection to fabricate engineered wood products and can be included in industry quality control standards to advance sustainable material development through ML-guided optimization.…”
Get full text

Atmosphere-driven metal-support synergy in ZnO/Au catalysts for efficient piezo-catalytic hydrogen evolution by Di Wu, Yingxin He, Chi Lin, Bing Li, Jiangping Ma, Lujie Ruan, Yajie Feng, Chaogang Ban, Junjie Ding, Xiaoxing Wang, Danmei Yu, Li-Yong Gan, Xiaoyuan Zhou

Get full text

Effects of biochar from different pyrolysis temperatures on soil physical properties and hydraulic characteristics in potato farmland of arid and semi-arid regions by Jiawei Guo, Hui Zhou, Liguo Jia, Yongqiang Wang, Mingshou Fan

“…To enhance potato farmland's physical and hydraulic properties, we recommend a pyrolysis temperature of 500 °C and an application rate of 20 t ha⁻¹ as the optimal biochar model. This study provides a theoretical basis for using biochar to improve soil quality and enhance crop yield in arid and semi-arid regions.…”
Get full text

Impacts of Community Parks on Residents’ Health Benefits and Enhancement Strategies Thereof from the Perspective of Micro-Renewal: A Case Study of Nanjing by Tianyuan SHOU, Mingjuan ZHANG, Jiaxing WEI

“…The generalized ordered logit models is utilized to analyze the non-linear effects of community park characteristics on residents’ health benefits, with socio-demographic factors such as gender, age, education level, and family income as control variables.ResultsThis research reveals a hierarchical and non-linear association between community park characteristics and residents’ self-assessed health benefits. …”
Get full text

Targeted urinary metabolomics combined with machine learning to identify biomarkers related to central carbon metabolism for IBD by Miao-Lin Lei, Guan-Wei Bi, Xiao-Lin Yin, Xiao-Lin Yin, Yue Wang, Yue Wang, Yue Wang, Zi-Ru Sun, Zi-Ru Sun, Zi-Ru Sun, Xin-rui Guo, Hui-peng Zhang, Xiao-han Zhao, Feng Li, Feng Li, Yan-Bo Yu

“…The optimal diagnostic model achieved a mean AUC of 0.84 for UC and 0.93 for CD. …”
Get full text

ON GAME-THEORY APPROACH TO PROCESS MACHINE ADJUSTMENT PROBLEMS by Lyudmila Victorovna Borisova, Inna Nikolayevna Nurutdinova, Valery Petrovich Dimitrov

“…The problem on building the output mechanism for the intellectual information system designed for decision-making on the technological control of combines in the field is considered. The domain of the agricultural machines operation is briefly analyzed. …”
Get full text

Path-Integral-Based Reinforcement Learning Algorithm for Goal-Directed Locomotion of Snake-Shaped Robot by Qi Yongqiang, Yang Hailan, Rong Dan, Ke Yi, Lu Dongchen, Li chunyang, Liu Xiaoting

“…This paper proposes a goal-directed locomotion method for a snake-shaped robot in 3D complex environment based on path-integral reinforcement learning. This method uses a model-free online Q-learning algorithm to evaluate action strategies and optimize decision-making through repeated “exploration-learning-utilization” processes to complete snake-shaped robot goal-directed locomotion in 3D complex environment. …”
Get full text

A Novel Multi-Sensor Nonlinear Tightly-Coupled Framework for Composite Robot Localization and Mapping by Lu Chen, Amir Hussain, Yu Liu, Jie Tan, Yang Li, Yuhao Yang, Haoyuan Ma, Shenbing Fu, Gun Li

“…In a controlled study, using a simulated indoor rescue scenario dataset, the IIVL-LM system demonstrated significant performance enhancements in challenging luminance conditions, particularly in low-light environments. …”
Get full text

Sistem Kontrol Perangkat Inframerah Menggunakan Speech Recognition dengan Spectrogram dan Convolutional Neural Network Berbasis Mikrokontroler by Irfan Muzakky Nurrizqy, Barlian Henryranu Prasetio, Rekyan Regasari Mardi Putri

“…The system can also run the speech recognition process with an average time of 0.105 seconds. The optimal distance required between the user and microphone is 30 cm and the optimal distance required between the infrared transmitter and the controlled device is 30 cm. …”
Get full text

Deep Reinforcement Learning With Dueling DQN for Partial Computation Offloading and Resource Allocation in Mobile Edge Computing by Ehzaz Mustafa, Junaid Shuja, Faisal Rehman, Abdallah Namoun, Mazhar Ali, Abdullah Alourani

“…In this paper, we introduce a multi-branch Dueling Deep Q Network (MBDDQN) that tackles the challenges of high-dimensional state-action spaces and long-term cost optimizations in dynamic environments. The Dueling DQN alleviates the complexity of simultaneous offloading and resource allocation decisions, with each branch independently controlling a subset of the decision variables to scale efficiently with an increasing number of IoT devices, thereby avoiding the combinatorial explosion of potential actions. …”
Get full text

Patellofemoral Joint Loading During the Performance of the Forward and Side Lunge with Step Height Variations by Rafael Escamilla, Naiquan Zheng, Toran D MacLeod, Rodney Imamura, Kevin E. Wilk, Shangcheng Wang, Irv Rubenstein, Kyle Yamashiro, Glenn S. Fleisig

“…Electromyographic, ground reaction force, and kinematic variables were collected and input into a biomechanical optimization model, and patellofemoral joint force and stress were calculated as a function of knee angle during the lunge descent and ascent and assessed with a repeated measures 2-way ANOVA (p<0.05)…”
Get full text