Estimation of parameters for the modified Weibull distribution under step-stress accelerated life testing with application to aircraft windshields data by Mohammed M. A. Almazah, Mohammed A. Alshahrani, Qasim Ramzan, Irfan Ali Raza, Muhammad Tahir, Zahoor Ahmad

“…Abstract In the field of engineering, precise estimation and reliability analysis are vital for ensuring the safety and performance of systems. This research employs several advanced statistical techniques to achieve these objectives. …”
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Spot Image Segmentation of Lifting Container Vibration Based on Improved Threshold Method and Mathematical Morphology by Tian-Bing Ma, Qiang Wu, Fei Du, Wei-Kang Hu, Yong-Jing Ding

“…The novelty of this method lies in the accurate threshold segmentation and noise reduction processing of the laser speck vibration image under various interference environments in the operation of the mine hoisting system and the accurate acquisition of vibration signals. The research work provides a basis for the accurate evaluation of mechanical faults of automation technology.…”
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An improved small object detection CTB-YOLO model for early detection of tip-burn and powdery mildew symptoms in coriander (Coriandrum sativum) for indoor environment using an edge... by Parwit Chutichaimaytar, Zhang Zongqi, Kriengkri Kaewtrakulpong, Tofael Ahamed

“…The model was deployed on an edge computing device integrated with the LINE application, providing real-time notifications to growers for immediate and reliable intervention. This research demonstrates CTB-YOLO’s potential as an effective tool for automating disease monitoring in indoor agriculture, enhancing crop health management, and promoting sustainable farming practices.…”
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Thermo-Mechanical Behavior Simulation and Experimental Validation of Segmented Tire Molds Based on Multi-Physics Coupling by Wenkang Xiao, Fang Cao, Jianghai Lin, Hao Wang, Chongyi Liu

“…This research not only provides a universally applicable multi-field coupling analysis method for complex mold design but also highlights the critical role of temperature fields in stress distribution and deformation analysis. …”
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Deep recurrent neural network with fractional addax optimization algorithm for influenza virus host prediction by Shweta Ashish Koparde, Sonali Kothari, Sharad Adsure, Kapil Netaji Vhatkar, Vinod V. Kimbahune

“…The model's performance is evaluated using metrics, such as Matthews's Correlation 36 Coefficient (MCC), F1-Score, and Mean Squared Error (MSE). Experimental results demonstrate that the DRNN_FAOA 37 model significantly outperforms existing methods, achieving the highest MCC of 0.937, F1-Score of 0.917, and the 38 lowest MSE of 0.038. …”
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Development of a High-Resolution Tropospheric Delay Model Integrating GNSS ZTD and ERA5 Reanalysis by Cuixian Lu, Bo He, Yuxin Zheng, Jiafeng Li, Xuanzhen Zhang

“…Tropospheric delay is a key metric in weather monitoring and represents one of the primary error sources in precise positioning. Advances in Global Navigation Satellite System (GNSS) and numerical weather models (NWM) present significant potential for enhancing the resolution and accuracy of tropospheric delay models. …”
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Coordination of preventive, emergency and restorative trading strategies under uncertain sequential extreme weather events by Xuemei Dai, Jing Zhou, Xu Zhang, Kaifeng Zhang, Wei Feng

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Data Processing Technology for the Forecasting of the Water Inflow into a Reservoir with the Use of Earth Remote Sensing and the Network of Meteorological and Hydrological Posts by Eroshenko S.A., Matrenin P.V., Khalyasmaa A.I., Klimenko D.E., Sidorova A.V.

“…It is aimed to reduce the error of short-term forecast-ing of the water inflow to the reservoir. …”
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Joint Active/Passive Beamforming Optimization via RWMMSE and Gradient Projection for Downlink IRS-Aided MU-MISO Systems by Seraphin F. Kimaryo, Eduard E. Bahingayi, Kyungchun Lee

“…This study builds upon previous research on downlink IRS-assisted multi-user multiple-input single-output (MISO) systems by introducing innovative methods to accelerate their operations. …”
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Harvester Maintenance Prediction Tool: Machine Learning Model Based on Mechanical Features by Rodrigo Oliveira Almeida, Richardson Barbosa Gomes da Silva, Danilo Simões

“…Along with the data from the experimental research, we will make available the complete file containing the predictive model, as well as the software, both developed in the Python language.…”
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Development of a UAV LiDAR-Based Framework for Consolidation Settlement Monitoring Through Spatial Analysis by Seok-Jun Ko, Seongho Hong, Tae-Young Kwak

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MATHEMATICAL MODELS AND THERMODYNAMIC PROPERTIES OF MOISTURE SORPTION ISOTHERMS OF FERMENTED CASSAVA FLOUR BY RED YEAST RICE by Mutiara Nur Alfiah, Sri Hartini, Margareta Novian Cahyanti

“…This research aims to determine moisture sorption isotherm curves, moisture sorption isotherm models and thermodynamic properties of fermented cassava flour by red yeast rice. …”
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Aboveground biomass estimation using multimodal remote sensing observations and machine learning in mixed temperate forest by Shashika Himandi Gardeye Lamahewage, Chandi Witharana, Rachel Riemann, Robert Fahey, Thomas Worthley

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A new sliding mode control strategy to improve active power management in a laboratory scale microgrid by Oscar Gonzales-Zurita, Jean-Michel Clairand, Guillermo Escrivá-Escrivá

“…This algorithm employed a non-conventional sliding surface to improve the microgrid’s capacities for energy management. The research was conducted in a PSCAD environment, where a real industrial SPVSI with PI control was emulated and then optimized using the SMC-2. …”
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Image-based Artificial Intelligence-driven modelling for blank shape optimisation in sheet metal forming by Haosu Zhou, Haoran Li, Yingxue Zhao, Peter R.N. Childs, Nan Li

“…However, traditional trial-and-error optimisation often exhibits inferior performance in manufacturability-driven problems, particularly when handling complex shapes. …”
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Simplified Frequency Estimation of Prefabricated Electric Poles Through Regression-Based Modal Analysis by Hakan Erkek, Ibrahim Karataş, Doğucan Resuloğulları, Emriye Çınar Resuloğullari, Şahin Tolga Güvel

“…Despite their importance, limited research exists on the structural and modal behavior of reinforced concrete power poles. …”
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Prediction Model of Household Carbon Emission in Old Residential Areas in Drought and Cold Regions Based on Gene Expression Programming by Shiao Chen, Yaohui Gao, Zhaonian Dai, Wen Ren

“…It provides a reliable tool for precision-based low-carbon retrofits in aging residential areas of arid-cold regions and offers a methodological advance for research on building carbon emission prediction driven by urban renewal.…”
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Psychological and Pedagogical Technologies of Working with Teenagers to Level the Manifestations of Learned Helplessness by Shalaginova K.S., Dekina E.V., Kulikova T.I.

“…We used the author's questionnaire, the questionnaire “Motivation for success and fear of failure” by A.A. Rean, “Method of research of self-esteem and the level of claims” by Dembo-Rubinstein, the projective test “Nonexistent animal”, “Phillips school anxiety Test”, “Maddy's resilience Test” (adaptation by D.A. …”
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Developing an Artificial Neural Network-Based Grading Model for Energy Consumption in Residential Buildings by Yaser Shahbazi, Sahar Hosseinpour, Mohsen Mokhtari Kashavar, Mohammad Fotouhi, Siamak Pedrammehr

“…This research emphasizes the role of geometric features and natural lighting in energy consumption prediction, highlighting the model’s practicality for early design evaluations and architectural validations.…”
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Combined Methylmalonic Aciduria and Homocystinuria cblC Type of a Taiwanese Infant With c.609G>A and c.567dupT Mutations in the MMACHC Gene by Jenn-Tzong Chang, Ying-Yao Chen, Tze-Tze Liu, Mei-Ying Liu, Pao-Chin Chiu

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