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

“…Early and accurate detection of these symptoms is critical for maintaining yield and quality, yet traditional visual inspection methods are subjective and prone to error. To address this, we developed an enhanced deep learning model, Coriander Tip-Burn YOLO (CTB-YOLO), specifically tailored for detecting small-object symptoms in coriander leaves, emphasizing the reduction of false-positive detections (FP), which could lead to erroneous alerts and unnecessary interventions. …”
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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

“…Molding forces play a secondary role in total stress. The error between multi-field coupling simulation results and experimental results is controlled within 6%, verifying the model’s reliability. …”
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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

“…Specifically, we introduce a weighted sum rate problem and utilize the reduced weighted minimum mean square error (RWMMSE) algorithm to determine active precoders, alongside the employment of gradient projection (GP) method to enhance passive beamforming techniques. …”
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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

“…In default mode, we ran 25 popular algorithms through the database and compared them based on accuracy and error metrics. Although the combination models performed well, the Random Forest model performed better in the default mode with an accuracy of 0.933. …”
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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

“…The SMC-2 achieved in less time than PI, active power references over a range of 0 to 1000 W, and obtained lower performance indices based on reference tracking error. The microgrid under study is located at Universitat Politècnica de València.…”
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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

“…Subsequently, a hybrid prediction model was constructed, with its parameters optimized by minimizing the root mean square error (RMSE) as the fitness function. Experimental results demonstrated that the model achieved an R² value of 0.81, reducing RMSE by 77.1% compared to conventional GEP models and by 60.4% compared to BP neural networks, while significantly improving stability. …”
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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.

“…To prevent and overcome the syndrome of learned helplessness, create emotional well-being of adolescents as targets of psychological influence, the formation of adequate self-esteem and the level of claims of adolescents, the development of an objective, adequate attitude to the results of their activities, orientation not to error, but to obtain new knowledge are identified.…”
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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

“…The results demonstrate that the model achieves a remarkable prediction error of just 0.001, facilitating efficient energy assessments without requiring extensive modeling expertise. …”
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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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A Correlation Analysis-Based Structural Load Estimation Method for RC Beams Using Machine Vision and Numerical Simulation by Chun Zhang, Yinjie Zhao, Guangyu Wu, Han Wu, Hongli Ding, Jian Yu, Ruoqing Wan

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Empowering self-sustained agriculture: an IoT field tracking model driven by fog computing by Gurpreet Singh, Jaspreet Singh, Sapna Juneja, Yonis Gulzar, Deepali Gupta, Kayhan Zrar Ghafoor, Mukesh Kumar

“…The result revealed that proposed system brings down response time, error rate and standard deviation to significant level and improves the accuracy of current system exponentially.…”
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