Simultaneous Energy Optimization of Heating Systems by Multi-Zone Predictive Control—Application to a Residential Building by Rina Bitar, Nicolas Youssef, Julien Chamoin, Fadi Hage Chehade, Didier Defer

“…The research methodology uses dynamic thermal simulation, parallel predictive models based on multiple linear regressions, and a multi-objective non-dominated sorting genetic algorithm II (NSGA-II) for the optimization process, which evaluates various generated heating strategies. …”
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Development and Optimization of a Novel Semi-Submersible Floater for Floating Wind Turbines in the South China Sea by Yiming Zhong, Wenze Liu, Wei Shi, Xin Li, Shuaishuai Wang, Constantine Michailides

“…Using a differential evolution algorithm, the optimization process adjusts column diameter and spacing while considering motion response and steel usage constraints. …”
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DeepGuard: real-time threat recognition using Golden Jackal optimization with deep learning model by Fatma S. Alrayes, Hamed Alqahtani, Wahida Mansouri, Asma Alshuhail, Wafa Sulaiman Almukadi, Ahmed Mahmud

“…Integrating DL methods in surveillance video study showcases the probability for sophisticated, intelligent methods to enlarge classical safety measures, delivering fast and effective threat recognition in different environments. This study presents a DeepGuard model for Real-Time Threat Recognition using Golden Jackal Optimization with Deep Learning. …”
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Machine learning enhanced metal 3D printing: high throughput optimization and material transfer extensibility by Yuanjie Zhang, Cheng Lin, Yuan Tian, Jianbao Gao, Bo Song, Hao Zhang, Min Wang, Kechen Song, Binghui Deng, Dezhen Xue, Yonggang Yao, Yusheng Shi, Kun Kelvin Fu

“…The high throughput methodologies are mostly on obtaining the printed samples and their structural and physical properties, while ML is used for data analysis by model building for prediction (optimization), and understanding. For 316L stainless steel, we concurrently printed 54 samples with different parameters and subjected them to parallel tests to generate an extensive dataset for ML analysis. …”
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Optimizing axial length estimation for intraocular lens power calculation in phacovitrectomy for macula-off retinal detachment by Sukhum Silpa-archa, Chitchanok Samanwongthai, Variya Nganthavee, Korawin Charoensuk

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A Simulation-Based Multiple-Objective Optimization for Designing K-Stacks Autonomous Valet Parking Lots by Chu Zhang, Shaopei Xue, Jiayi Chen, Jun Chen

“…Then, a nondominated sorting based on cumulative advantages (NSCA) method is put forward to select the most robust solution from all candidates, considering different demand scenarios. K-stacks parking lots optimized by the SMOO can provide 36%–59% more parking spaces than a traditional parking lot while keeping other evaluations fine. …”
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A Novel Multi-Task and Ensembled Optimized Parallel Convolutional Autoencoder and Transformer for Speech Emotion Recognition by Zahra Sharifzadeh Jafari, Sanaz Seyedin

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Optimization of Critical Factors for In Vitro Vegetative Growth of Pleurotus cornucopiae to Improve Branched Oyster Mushroom Production by Arunesh Kumar, R. S. Jarial, Kumud Jarial, Savita Jandaik, Meenu Gupta, Chidembra Bhardwaj, Satish Kumar Sharma, Ankita, Surender Kumar

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Design and statistical optimization of an effervescent floating drug delivery system of theophylline using response surface methodology by Srikanth Meka Venkata, Ee Li Chew, Sheshala Ravi

“…Sodium bicarbonate was used as a gas generating agent. Direct compression was used to formulate floating tablets and the tablets were evaluated for their physicochemical and dissolution characteristics. …”
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AbstractTrace: The Use of Execution Traces to Cluster, Classify, Prioritize, and Optimize a Bloated Test Suite by Ziad A. Al-Sharif, Clinton L. Jeffery

“…This paper explores three levels of execution traces and evaluates different techniques to measure their similarities. …”
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Neural Networks for Phase Shift Optimization of Reconfigurable Intelligent Surfaces Under Imperfect Channel State Information by Pablo Fondo-Ferreiro, Firooz B. Saghezchi, Felipe Gil-Castineira, Jonathan Rodriguez

“…We evaluate the performance of the proposed Machine Learning (ML) model in terms of different key performance indicators (KPIs), including the system bit error rate (BER) and throughput, phase shift estimation mean square error (MSE), and the training time of the neural network itself. …”
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Sky images based photovoltaic power forecasting: A novel approach with optimized VMD and Vision Mamba by Chenhao Cai, Leyao Zhang, Jianguo Zhou, Luming Zhou

“…As the global demand for sustainable energy sources continues to grow, accurate prediction of photovoltaic power generation is crucial for optimizing the utilization of solar resources and enhancing the efficiency of photovoltaic systems. …”
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Design and Implementation of a Decision Integration System for Monitoring and Optimizing Heating Systems: Results and Lessons Learned by Kirill Djebko, Daniel Weidner, Marcel Waleska, Timo Krey, Bhaskar Kamble, Sven Rausch, Dietmar Seipel, Frank Puppe

“…We analyzed the measured data of real heating systems and evaluated our approach by generating the recommended measures based on rules created by heating system experts, which were then partially applied to the physical heating systems and partially evaluated in simulation. …”
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Optimized exposer region-based modified adaptive histogram equalization method for contrast enhancement in CXR imaging by Shivam Gangwar, Reeta Devi, Nor Ashidi Mat Isa

“…The well-exposed region is further divided, generating five histograms. Each region undergoes adaptive contrast enhancement via a novel weighted probability density function (PDF) and power-law transformation to ensure balanced enhancement across different exposure levels. …”
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Mitigating the Impact of Satellite Vibrations on the Acquisition of Satellite Laser Links Through Optimized Scan Path and Parameters by Muhammad Khalid, Wu Ji, Deng Li, Li Kun

“…This study presents a framework for evaluating the acquisition time of four different scanning methods: spiral, raster, square spiral, and hexagonal, using a probabilistic approach. …”
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Optimization of Straw Particle Size for Enhanced Biogas Production: A Comparative Study of Wheat and Rapeseed Straw by Kamil Witaszek, Karol Kupryaniuk, Jakub Kupryaniuk, Julia Panasiewicz, Wojciech Czekała

“…This study aims to optimize straw particle size for enhanced methane production by evaluating different fractionation levels. …”
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EC-WAMI: Event Camera-Based Pose Optimization in Remote Sensing and Wide-Area Motion Imagery by Isaac Nkrumah, Maryam Moshrefizadeh, Omar Tahri, Erik Blasch, Kannappan Palaniappan, Hadi AliAkbarpour

“…These capabilities allow ECs to overcome challenges such as glare, uneven lighting, and low-light conditions that are common in aerial imaging and remote sensing, while also extending UAV flight endurance. To evaluate the effectiveness of ECs in WAMI, we simulate event data from RGB WAMI imagery and integrate them into SfM pipelines for camera pose optimization and 3D point cloud generation. …”
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A Distributed AGC Method considering Two-Channel Random Delays and Their Difference between Interconnected Power Systems by Xilin Zhao, Zhenyu Lin, Bo Fu, Yang Yang, Jimin Ma

“…Furthermore, three cases, (a) no processing for delay, (b) control sequence selection, (c) control sequence selection with optimization, are analyzed. The frequency and area control error (ACE) performance are evaluated with step load perturbation and random load perturbation. …”
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Improved CAR internalization and recycling through transmembrane domain optimization reduces CAR-T cytokine release and exhaustion by Shufeng Xie, Shufeng Xie, Jinlan Long, Ruiheng Wang, Ruiheng Wang, Rufang Xiang, Rufang Xiang, Huajian Xian, Yixin Wang, Weiyu Dou, Wenjie Zhang, Dan Li, Ting Kang, Zhihong Chen, Zhihong Chen, Chunjun Zhao, Zhenshu Xu, Han Liu

“…In this study, we aim to enhance CAR-T cell function by focusing on the solely transmembrane domain design.MethodsUtilizing plasmid construction and lentivirus generation, we get two different transmembrane CAR-T cells [19CAR-T(1a) and 19CAR-T(8α)]. …”
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Damping of Low-Frequency Oscillations in a Power System, Based on Multiple-Model Optimal Control Strategy by Elahe Pagard, Shahrokh Shojaeian, Mohammad Mahdi Rezaei

“…The multimodel control strategy is used to anticipate synchronous generator dynamic behavior and linear optimization control for generating a control signal uncomplicatedly. …”
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