Mode competition mechanism of D-band coaxial static magnetic wiggler by Liang Zhang, Yan Teng, Yongdong Li, Hongguang Wang, Yue Wang, Feng Zhang, Wenjin Yang, Yonggui Zhai

“…Many mechanisms and principles remain insufficiently explored, making it difficult to enhance output power and conversion efficiency at higher frequencies. …”
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Fish keypoint detection for offshore aquaculture: a robust deep learning approach with PCA-based shape constraint by Gen Li, Gen Li, Anji Lian, Zidan Yao, Yu Hu, Yu Hu, Guoliang Pang, Guoliang Pang, Taiping Yuan, Taiping Yuan, Zhenhua Li, Xiaohua Huang, Xiaohua Huang, Gang Wang

“…IntroductionFish keypoint detection is a prerequisite for accurate fish behavior analysis and biomass weight estimation, and is therefore crucial for efficient and intelligent offshore aquaculture. Traditional keypoint detection networks typically employ coordinate regression methods, which do not impose any constraints on the output of the regression head or the training process of the neural network. …”
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ASYMMETRIC SLOT LINES FOR CREATING MILLIMETER-WAVE SEMICONDUCTOR COMPONENTS by M. F. Karushkin, V. P. Rukyn

“…Extended-geometry active components (IMPATT diodes) also serve the purpose. These methods enabled us to increase the output power of the microwave devices by 40 to 50%, the temperature of the p-n junction of the active element therewith was not increasing. …”
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Power Grid Load Forecasting Using a CNN-LSTM Network Based on a Multi-Modal Attention Mechanism by Wangyong Guo, Shijin Liu, Liguo Weng, Xingyu Liang

“…Finally, the flattened output layer produces the forecast results. Experimental validation shows that the proposed CNN-MHSA-LSTM-GAM-CAM model outperforms existing mainstream methods in terms of load forecasting accuracy, providing effective support for the optimized scheduling of smart grids.…”
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Precise estimation of solar photovoltaic parameters via brown bear optimization and Differential Evolution by Khalid M. Hosny, Amr A. Abd El-Mageed, Amr A. Abohany, Reda M. Hussein, Mona Gaffar

“…Precise parameter estimation is critical for ensuring the efficient operation of PV systems, as it directly influences energy output and current generation. …”
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Economic evaluation and investment decision-making process of deep coalbed methane exploration and development projects by Youjin DAI, Fengyin XU, Feng WANG, Pengfei MA, Yun YANG, Jian YUN, Jie XU, Xiaoyi SUN, Shan CHENG, Yuxin LI

“…The scientific and reasonable economic evaluation of exploration and development projects and investment decision-making are two crucial and urgent challenges in achieving the efficient development of deep coalbed methane. In light of the characteristics of deep coalbed methane resource development and economic evaluation, an evaluation method and indicators based on the discounted cash flow method are constructed and applied to the typical simulated development project A in Daning-Jixian block on the eastern margin of the Ordos Basin. …”
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Photon transport in bimodal atom-cavity systems with waveguide coupling: Application to deterministic photon subtraction by Abdolreza Pasharavesh, Michal Bajcsy

“…Subsequent analysis combines the input-output formalism with the quantum trajectory method to numerically verify the analytical findings as well as to assess the impact of photon number of the input pulse on the subtractor's performance. …”
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Multi-Scenario Planning of Distribution Network in the Context of Integrated Energy by Yuan HU, Song XUE, Su YANG, Chenghui TANG, Cai LIANG, Tiangjun XIONG

“…Based on this, we propose a multi-scenario planning method for coordinated planning of integrated energy system equipment and distribution network substation capacities with consideration of the uncertainties of new energy and the electricity, heat and cooling loads, to achieve efficient and reliable electricity, gas and heat supply. …”
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THERMOELECTRIC HEAT REMOVAL SYSTEM FOR THE OPERATIONAL STABILISATION OF HEAT PIPES IN A SYSTEM FOR PROVIDING THE THERMAL REGIME OF RADIO ELECTRONIC EQUIPMENT by S. A. Peredkov, R. K. Ramazanov, S. A. Yusufov

“…The numerical calculation method is based on the method of energy balances. …”
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Enhancing the thermal conductivity and stability of cuprous oxide nanofluids: Ribose-mediated single step chemical synthesis for solar energy applications by D. Krishna Bhat, S. Pavan Kumar, U. Sandhya Shenoy

“…The efficiency of photovoltaic (PV) panels can be compromised by rising temperatures, prompting extensive research into thermal management strategies aimed at maximizing power output. …”
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Ship path planning and tracking based on rapidly exploring random tree star and convex optimization by Chang ZHOU, Te YU, Jiapeng LIU, Dihua LU, Qingshan ZENG

“…Finally, model predictive control (MPC) algorithm is employed to generate ship control output sequences, enabling safe and efficient navigation around obstacles from the starting point to the destination. …”
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The Role of High-Intensity Interval Training (HIIT) in Neuromuscular Adaptations: Implications for Strength and Power Development—A Review by Chi-Hsiang Hung, Chun-Hsien Su, Dong Wang

“…HIIT presents a valuable, time-efficient complement to conventional training methods for improving strength, power, and neuromuscular efficiency.…”
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Performance analysis of an induction motor drive powered by a cascaded H-bridge multilevel inverter by Akshat, M. Venkatesh Naik, Rahul Kumar

“…To mitigate these issues, a novel 13th Harmonic Injected Trapezoidal PWM (THITRPWM) technique is introduced, combining a trapezoidal waveform with a 13th harmonic signal to reduce lower-order harmonics (3rd and 5th), THD, and torque ripple, thereby enhancing drive efficiency. Simulation results in MATLAB/Simulink demonstrate that this level-shifted PWM approach produces a smoother motor response and higher-quality output waveform than traditional methods. …”
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Machine learning algorithm for the rapid and accurate detection of Plasmodium falciparum by Mr Andrew Hill

“…Methods: Machine learning algorithms (MLA) consisting of a family of tiny (3,911 to 100,000 parameters) hybrid convolutional neural network / encoder-decoder models were developed which output a both a label {Parasite, Normal} and a confidence. …”
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Global MPPT optimization for partially shaded photovoltaic systems by T. Nagadurga, V. Dhana Raju, Abdulwasa Bakr Barnawi, Javed Khan Bhutto, Abdul Razak, Anteneh Wogasso Wodajo

“…From the simulation results, it was found that ChOA have shown higher conversion efficiency of 99.63% with maximum power output of 525.13 W when compared to other optimization algorithms for the given shading pattern condition. …”
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Application of small self-propelled drill rigs by Simić Nikola, Milanović Stefan, Kričak Lazar, Negovanović Milanka, Đokić Nikola

“…However, the need for safer and more efficient work has led to the development of small self-propelled drilling machines that require fewer workers to achieve the same output while providing significantly safer working conditions. …”
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A Study on a Variable-Gain PID Control for a Pneumatic Servo System Using an Optimized PSO-Type Neural Network by Shenglin Mu, Satoru Shibata, Daisuke Baba, Rikuto Oshita

“…In our approach, one of the OPSO-type NNs is utilized to tune the PID controller gains, while the other adjusts the control output. The experimental results show that the proposed method enhances the position control accuracy of the pneumatic servo system. …”
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Sensitivity Estimation for Differentially Private Query Processing by Meifan Zhang, Xin Liu, Lihua Yin

“…Experiments on real-world and benchmark datasets confirm that both methods enable efficient differentially private joins, significantly enhancing the usability of online interactive query systems.…”
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Spatial Model for Determining the Optimum Placement of Logistics Centers in a Predefined Economic Area by Ramona Iulia Țarțavulea (Dieaconescu), Mihaela Gabriela Belu, Dorel Mihai Paraschiv, Ioan Popa

“…The process of globalization has stimulated the demand for logistics services at a level of speed and increased efficiency, which involves using of techniques, tools, technologies and modern models in supply chain management. …”
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Parameter Optimization of MIMO Fuzzy Optimal Model Predictive Control By APSO by Adel Taieb, Moêz Soltani, Abdelkader Chaari

“…This paper introduces a new development for designing a Multi-Input Multi-Output (MIMO) Fuzzy Optimal Model Predictive Control (FOMPC) using the Adaptive Particle Swarm Optimization (APSO) algorithm. …”
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