Development and Optimization of a Novel Deep Learning Model for Diagnosis of Quince Leaf Diseases by A. Naderi Beni, H. Bagherpour, J. Amiri Parian

“…Due to the importance of quince in Iran's export market, its diseases can cause significant economic losses to the country. Therefore, if leaf diseases can be automatically identified, appropriate actions can be taken in advance to mitigate these losses. …”
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Remote Sensing Image Detection Method Combining Dynamic Convolution and Attention Mechanism by Yunfei Zhang, Ming Chen, Cong Chen

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Enhanced Stability and Performance of Islanded DC Microgrid Systems Using Optimized Fractional Order Controller and Advanced Energy Management by Md. Wahidujjaman, Tasnim Ul Bari, Md. Shafiul Alam, Md. Rashidul Islam, Md. Alamgir Hossain, Md. Arafat Hossain, Md. Rafiqul Islam Sheikh

“…To reduce this burden and conversion losses, a distributed generation‐based DC microgrid system is favorable due to its flexibility and reliability. …”
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An enhanced multi-objective reactive power dispatch for hybrid Wind-Solar power system using Archimedes optimization algorithm by Prisma Megantoro, Syahirah Abd Halim, Nor Azwan Mohamed Kamari, Lilik Jamilatul Awalin, Ramizi Mohamed, Hazwani Mohd Rosli

“…AOA achieved a 1.83% lower power loss and a 29.67% lower VSI compared to MOALO. When compared to LISA, AOA achieved a 1.68% lower power loss, demonstrating its superior optimization capabilities. …”
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Improving the Control Strategy of the DVR Compensator Based on an Adaptive Notch Filter with an Optimized PD Controller Using the IGWO Algorithm by Mohammed M. Alrashed, Aymen Flah, Masoud Dashtdar, Claude Ziad El-Bayeh, Mohamed F. Elnaggar

“…This article presents a DVR control scheme optimized with improved grey wolf optimization (IGWO) that uses a proportional derivative (PD) controller and adaptive notch filter (ANF). …”
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An Optimization Method for Multi-Robot Automatic Welding Control Based on Particle Swarm Genetic Algorithm by Lu Chen, Jie Tan, Tianci Wu, Zengxin Tan, Guobo Yuan, Yuhao Yang, Chiang Liu, Haoyu Zhou, Weisi Xie, Yue Xiu, Gun Li

“…Then, the PSO (particle swarm optimization) algorithm, which integrates penalty functions into the fitness evaluation, is used to determine the optimal welding path by simulating collective behavior within a group. …”
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The impact of obesity and weight loss treatment on metabolic parameters, cardiovascular autonomic and sensory nerve function and in vitro fertilization outcomes in infertile women:... by Anna Vágvölgyi, Viktor Vedelek, Nóra Keller, Dalma Szöllősi, Szilvia Lada, Attila Nemes, Péter Kempler, Adrienn Menyhárt, István Baczkó, Tamás Várkonyi, Csaba Lengyel, János Zádori

“…Our study aimed to analyze the effects of preconceptional weight loss in infertile women with obesity on peripheral sensory and cardiovascular autonomic nerve function, metabolic parameters, and the success of in vitro fertilization (IVF).MethodsA retrospective cohort study included women with obesity and infertility undergoing weight optimization before IVF, alongside age-matched controls. …”
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Crop gains induced by diversification exceed crop losses to diseases and weeds in a low-input rice cultivation system by Koloina Rahajaharilaza, Cyrille Violle, Bertrand Muller, Kirsten vom Brocke, Jean Benoît Morel, Rémi Pelissier, Elsa Ballini, Delphine Luquet, Perle Ramavovololona, Florian Fort, Lucie Mahaut

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PFW-YOLO Lightweight Helmet Detection Algorithm by Yue Hong, Hao Wang, Shuo Guo

“…Finally, Wise-Inner-Shape-IoU is used to optimize the bounding box regression loss function, which is used to enhance the detection accuracy and accelerate the convergence speed. …”
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Model and training method for aerial image object detector with optimization of both robustness and computational efficiency by Alona Moskalenko, Mykola Zaretskyi, Maksym Vynohradov, Vladyslav Babych

“…A novel method for training the detector was developed, combining the RetinaNet loss function with the loss function of gate blocks and applying meta-learning on the adaptation results for various types of synthetic perturbations. …”
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The Effect Of Optimizers On The Generalizability Additive Neural Attention For Customer Support Twitter Dataset In Chatbot Application by Sinarwati Mohamad Suhaili, Naomie Salim, Mohamad Nazim Jambli

“…Optimizers primarily control the adjustment of model parameters such as weight and bias to minimize a loss function during training. …”
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Information-Driven Model Predictive Control With Adaptive Partitioning for Energy Optimization in Automated Electric Vehicles by Shahriar Shahram, Yaser P. Fallah

“…This paper presents a methodology to optimize energy consumption in electric vehicles (EVs) using a Model Predictive Control (MPC) framework integrated with detailed power loss models. …”
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Flood Classification and Improved Loss Function by Combining Deep Learning Models to Improve Water Level Prediction in a Small Mountain Watershed by Rukai Wang, Ximin Yuan, Fuchang Tian, Minghui Liu, Xiujie Wang, Xiaobin Li, Minrui Wu

“…The integration of Graph Convolutional and Time Aware models enables the model to recognize the spatiotemporal flood characteristics, overcoming limitations of prevailing methods and ensuring long‐term forecast accuracy. The optimized loss function further improves the prediction performance, resulting in a significant improvement in the accuracy of flood peak prediction, with a reduction of 0.26% in the relative error of the peak prediction by the GWN model. …”
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DLE-YOLO: An efficient object detection algorithm with dual-branch lightweight excitation network by Peitao Cheng, Xuanjiao Lei, Haoran Chen, Xiumei Wang

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Optimizing grid-dependent and islanded network operations through synergic active-reactive power integration by Zohaib Hussain Leghari, Dalila Mat Said, Mazhar Baloch, Pervez Hameed Shaikh, Hafiz Mudassir Munir, Radomir Gono, Tomas Novak, Petr Moldrik

“…The first stage proposes an improved Jaya algorithm (IJaya) to optimize DG and SCB allocation during grid-connected operation, aiming to reduce power loss and improve voltage profiles. …”
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Enhanced Defect Detection in Additive Manufacturing via Virtual Polarization Filtering and Deep Learning Optimization by Xu Su, Xing Peng, Xingyu Zhou, Hongbing Cao, Chong Shan, Shiqing Li, Shuo Qiao, Feng Shi

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A DQN-Based Algorithm for Operational Optimization of Freight Trains in Long Steep Downhill Sections by HE Zhiyu, LI Yinan, LI Hui, JI Zhijun

“…The study employed the batch collection of training samples utilizing experience replay and a double-network mechanism, along with the preprocessing of neural network state inputs, and the investigation into feasible regions within the action space using a variable ε-greedy strategy. A loss function based on the value function was then constructed, and network parameters were updated iteratively by a batch gradient descent method. …”
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Wear analysis and optimization of nanoclay and copper coated carbon fiber strengthened hybrid aluminium composite by N. Senthilkumar, K. Gajalakshmi, K. Palanikumar, B. Deepanraj, Abdul Rahman Afzal

“…The adopted metaheuristic nature-inspired evaporation rate-based water cycle algorithm yields identical results and quickly converges to optimal conditions, resulting in a combined objective function of 157.67.…”
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Short-term Precipitation Forecast Correction in Beijing-Tianjin-Hebei Region Based on Deep Learning by Wang Yuhong, Kong Dexuan, Zhu Shoupeng, Zhang Nan, Ji Yan, Zhang Shan, Xu Huan

“…Through independent experiments, weighting coefficients assigned to TS within loss function are optimized for hourly correction models with lead times ranging from 3 to 12 h, with the following results: 1.2, 1.0, 1.0, 1.0, 1.2, 1.2, 1.2, 1.2, 1.1, and 1.1, respectively. …”
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A Hierarchical Optimal Control of Uncertain and Time-Varying Knowledge Dissemination Model in Complex Network by Dan Xia, Jian Shen, Jun Mei, Si Zhang

“…At the upper layer, an effective optimal control mechanism of the IKSF knowledge dissemination model is studied to provide optimal control action and minimization costs. …”
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