Flexible photovoltaic generation strategy for Rome Technopole by Gianluigi Bovesecchi, Federico Andreozzi, Marcello Petitta, Marco Pierro, Richard Perez, Cristina Cornaro

“…Solar and climate data from the university’s EsterLab enabled simulations of PV generation at various tilt angles, identifying 30° south-facing as optimal.An optimization process was developed to determine the ideal balance between PV and BESS capacity to minimize energy costs. …”
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SIMULATION OF STATIC AND DYNAMIC LOSSES IN MOSFET KEYS by V. P. Babenko, V. K. Bityukov, V. V. Kuznetsov, D. S. Simachkov

“…Issues of modeling of losses in MOSFET keys from the Electronics Workbench (EWB) program library as well as optimization of the power key operation mode are considered. …”
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DEVELOPMENT OF A NEW GENERATION OF TORNUM REX MINING GRAIN DRYERS AND THEIR DESIGN METHODS by V. Fitsyk

“…In recent years, the mixed-flow dryer has been the subject of many studies on drying efficiency, dryer control and productivity improvement. However, there is still a significant need for optimization in terms of energy efficiency and drying uniformity. …”
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Comparative Study of Adaptive <i>l</i>₁-Regularization for the Application of Structural Damage Diagnosis Under Seismic Excitation by Weilin Wu, Junfang Wang, Jianfu Lin, Xuanyu Liu

“…Damage identification plays a crucial role in the post-earthquake assessment and safety control of civil structures, which is usually an ill-posed inverse problem due to the presence of uncertainties and lack of measurement information. …”
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A brief review on factors affecting the performance of microbial fuel cell and integration of artificial intelligence by Ritesh Ojha, Jyotilagna Dash, Swati Sucharita Satpathy, Priti Chhanda Ojha, Debabrata Pradhan

“…This review uniquely summarizes key performance factors influencing MFCs, ranging from material science to microbial community dynamics, while highlighting the role of emerging tools like AI in predictive modelling and performance optimization. A comparative evaluation of AI techniques like artificial neural network, adaptive neuro-fuzzy inference systems, support vector regression, and long short-term memory and their integration into MFC operational parameters is presented. …”
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Transition to the sustainable supply chains: (on the example of PJSC Uralkali) by Strimovskaya Anna, Ryumkina Kseniya, Presnyakova Olga

“…Digitalization of logistics activity provides additional economic and environmental opportunities for modern enterprises: optimization of vehicle downtime during loading and unloading operations, reduction of CO2 emissions from irrationally formed routes, release of personnel from routine tasks in favor of strategic planning and control. …”
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Advancements in artificial intelligence and machine learning for poultry farming: Applications, challenges, and future prospects by Muhammad Halim Natsir, Wayan Firdaus Mahmudy, Mochamad Tono, Yuli Frita Nuningtyas

“…This review introduces a structured taxonomy of AI/ML applications grouped into five domains: disease detection, behaviour analysis, environmental control, automation, and productivity optimization. …”
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Numerical simulation of the effect of shale lamination structure on hydraulic fracture propagation behavior by Xun Gong, Zhijun Jin, Xinhua Ma, Yuyang Liu

“…Therefore, this study proposes a numerical model based on the finite element method (FEM) for indoor hydraulic fracturing scale and simulates the interaction between hydraulic fractures and bedding during the fracturing process. …”
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Meta-analysis of multimodal analgesia for reducing postoperative wound pain after hepatectomy for hepatocellular carcinoma by Yanggang Cao, Jian Shen

“…Quality assessment utilized the Cochrane Collaboration’s risk of bias tool, and a fixed or random-effects model was applied based on heterogeneity levels. …”
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OTIMIZAÇÃO NÃO-LINEAR NA SOLUÇÃO DO PROBLEMA INVERSO DA IRRIGAÇÃO POR SULCOS EM TEMPO REAL by Carlos Alberto Vieira de Azevedo, Gary P. Merkley, Wynn R. Walker

“…Este modelo faz parte de um programa computacional, denominado SIRTOM (Surface Irrigation Real-Time Optimization Model), desenvolvido por Azevedo (1992) para solucionar o problema inverso. …”
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Hydrodynamics of flow through living shoreline structure by Tanhaseng Kanyarat, Kositgittiwong Duangrudee, Ekkawatpanit Chaiwat, Kompor Wongnarin, Petpongpan Chanchai

“…A series of 40 controlled numerical tests was conducted with seadomes arranged in five shore-parallel rows near the shoreline. …”
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CPP: a path planning method taking into account obstacle shadow hiding by Ruixin Zhang, Qing Xu, Youneng Su, Ruoxu Chen, Kai Sun, Fengchang Li, Guo Zhang

“…We also proposed a Minimum-Jerk Trajectory Optimization method with controllable path noise points, which enhanced path smoothness and reduced predictability. …”
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An in silico framework for the rational design of vaginal probiotic therapy. by Christina Y Lee, Sina Bonakdar, Kelly B Arnold

“…Despite the commonality of BV, standard-of-care antibiotics provide limited control of recurrent BV episodes and development of new biotherapies is limited by the lack of controlled models needed to evaluate new dosing and treatment regimens. …”
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Supervisor Reconfiguration for Deadlock Prevention by Resources Reallocation by Miao Liu, Shouguang Wang, Zhiwu Li

“…Finally, we decide a marking for each monitor such that it makes the controlled system live with nearly optimal permissive behavior. …”
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Quantitative Analysis of Panax ginseng by FT-NIR Spectroscopy by Xin-fang Xu, Li-xing Nie, Li-li Pan, Bian Hao, Shao-xiong Yuan, Rui-chao Lin, Hai-bo Bu, Dan Wang, Ling Dong, Xiang-ri Li

“…The final optimal results of PLSR model showed that root mean square error of prediction (RMSEP) and correlation coefficients (R2) in the calibration set were 0.159 and 0.963, respectively. …”
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SDN Anomalous Traffic Detection Based on Temporal Convolutional Network by Ziyi Wang, Zhenyu Guan, Xu Liu, Caixia Li, Xuan Sun, Jun Li

“…Taking the packet length sequence as the core feature, the long-term temporal dependency in the traffic data is effectively captured by causal convolution and dilation convolution operations of the TCN model, combined with the residual connection mechanism to optimize the gradient propagation and improve the stability of the model training. …”
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Combined CT-based extracellular volume with pathologic indicators predicts early postoperative recurrence of gastric mesenchymal tumors by LU Hong, LU Hong, LI Haitao, CAI Ping

“…The sensitivity and specificity of the combined model was 85.71% and 86.52%, respectively, and the optimal cutoff value was 0.19. …”
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Mechanical Structure Design and Motion Simulation Analysis of a Lower Limb Exoskeleton Rehabilitation Robot Based on Human–Machine Integration by Chenglong Zhao, Zhen Liu, Yuefa Ou, Liucun Zhu

“…By comparing two sets of simulation results, it is shown that the BP fuzzy neural network PID control outperforms the other two control methods in terms of overshoot and settling time. …”
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Dynamic calculation of heat-flow coupled mine ventilation network with introduction of air volume fluctuation factor by Tong JIA, Heng MA, Ke GAO

“…The dynamic calculation for the fluctuating ventilation network facilitates precise quantitative mapping of the ventilation network state through real-time analysis of the coupling effect between the mine environment and ventilation variables, establishing a data foundation and optimized pathway for subsequent intelligent quantitative decision-making to enhance the adaptive adaptability and intrinsic precision of intelligent ventilation control.…”
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Text-To-Text Transfer Transformer Based Method for Generating Startup Scenarios for New Equipment in Power Grids by Wenbiao Tao, Liang Wang, Qingmeng Meng, Rui Li, Peng Han, Yuxin Shi, Lianfei Shan, Xiaofei Geng

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