Improved TLBO algorithm for optimal energy management in a hybrid microgrid with support vector machine-based forecasting of uncertain parameters by Raji Krishna, S. Hemamalini

“…The worldwide need for electrical energy is increasing, and integrating renewable energy sources (RES) into the power grid will enhance the efficient use of clean energy to fulfill the growing demand for energy. …”
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SUSTAINABLE BACKUP POWER WITH V2G INTEGRATION IN HYBRID MICROGRID by B. Karthikeyan, K. S. Yamuna, K. Padmapriya, S. Priyadharsini, K. Sabareeshwari, P. Sree Mathi

“…The EMS is designed to seamless transition between regular grid operation and outages with a specific consciousness on prioritizing strength supply to crucial infrastructure at some stage in grid downtimes by way of switching to island operation by utilizing strength saved in automobile batteries and sustainable sources like solar panels and wind turbines (Quiet Revolution QR5 – less noise level, compact and more efficient for sensitive environment). …”
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Resilient Rice Farming: Household Strategies for Coping with Recurrent Floods in Tempe Lake, Indonesia by Rahim Darma, Rahmadanih Rahmadanih, Majdah M. Zain, Riri Amandaria, Mario Mario, Rida Akzar

“…Research reveals that fishing and rice farming serve as the primary revenue sources for households in the region. Despite financial challenges, households maintain security due to dependable food sources and proximity to the lake. …”
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Benchmarking and Fidelity Response Theory of High-Fidelity Rydberg Entangling Gates by Richard Bing-Shiun Tsai, Xiangkai Sun, Adam L. Shaw, Ran Finkelstein, Manuel Endres

“…The remaining infidelity is explained by an ab initio error model, consistent with our experimental results over a range of gate speeds, with varying contributions from different error sources. Further, we develop a fidelity response theory to efficiently predict infidelity from laser noise with nontrivial power spectral densities and derive scaling laws of infidelity with gate speed. …”
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An Easy and Single-Step Biosynthesis of WO₃ with High Photocatalytic Degradation Activity for Dye Degradation by Azza A. Al-Ghamdi, Reema H. Aldahiri, Elham A. Alzahrani, Naha Meslet Alsebaii, Sumbul Hafeez, Shafiul Haque, Poonam Dwivedi, Seungdae Oh

“…The photocatalytic activity of the material was evaluated under ultraviolet light, visible light, and sunlight irradiation, demonstrating the efficient degradation of methylene blue under all light sources. …”
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Real-time fear emotion recognition in mice based on multimodal data fusion by Hao Wang, Zhanpeng Shi, Ruijie Hu, Xinyi Wang, Jian Chen, Haoyuan Che

“…Abstract A multimodal emotion recognition method that utilizes facial expressions, body postures, and movement trajectories to detect fear in mice is proposed in this study. …”
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Optimized smart home energy management system: Reducing grid consumption and costs through real-time pricing and hybrid architecture by Abdelrahman O. Ali, Mohamed R. Elmarghany, Ahmed M. Hamed, Mohamed Nabil Sabry, Mohamed M. Abdelsalam

“…Utility authorities utilize various methods to promote end-user energy conservation, including higher tariff rates and demand response (DR) strategies. …”
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Phenotypic Profiling of Selected Cellulolytic Strains to Develop a Crop Residue-Decomposing Bacterial Consortium by Arman Shamshitov, Egidija Satkevičiūtė, Francesca Decorosi, Carlo Viti, Skaidrė Supronienė

“…Results revealed that, beyond the core subset of 12 carbon sources, the strains exhibited diverse metabolic capacities in utilizing 106 carbon sources. …”
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Post-Disaster Building Damage Segmentation Using Convolutional Neural Networks by Revaldi Rahmatmulya, Agung Teguh Wibowo Almais, Mokhamad Amin Hariyadi

“…To address this issue, this research proposes a system capable of performing segmentation to determine the level of building damage post-natural disaster using convolutional neural network methods. The data utilized consists of aerial images sourced from xView2: Assess Building Damage, comprising 50 aerial images with 5 classes: no-damage, minor-damage, major-damage, destroyed, and unlabeled. …”
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Model-based design of a mechanically intelligent shape-morphing structure by Qianyi Chen, Dingena Schott, Jovana Jovanova

“…Besides, the shape-morphing structures exhibit customized behaviours including bending, curling, and elongation, all while reducing reliance on external power sources. In conclusion, utilizing multiple smart materials within the model-based design framework offers an efficient approach for developing mechanically intelligent structure capable of complex deformations and variable stiffness, thereby providing support for underwater or offshore engineering applications.…”
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Low pressure PEM electrolyzer system modeling with heat loss representation by Asmaa A. Ghany, Mohamed Mahmoud Samy

“…Low-pressure proton exchange membrane (PEM) electrolyzers are increasingly recognized for their effectiveness in hydrogen production, especially when combined with renewable energy sources. These systems function efficiently at reduced pressures, leading to lower cost of operation and improved safety. …”
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Leveraging the process mining technique to optimize data preparation time in a database used as an automated data delivery center by Seyed Hossein Abrehdari

“…The study explored the various stages involved in the preparation, delivery, and processing of a database containing almost 900 earthquake waveform records (considered big data) by utilizing process mining techniques. The data were gathered from a region spanning 388,111.5 km², located between 44°–51°E and 38°–42.5°N, over the period from 1999 to 2018, and sourced from the USGS. …”
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A novel framework for optimizing residential load response planning with consideration of user satisfaction by Mohammad Hossein Erfani Majd, Gholam-Reza Kamyab, Saeed Balochian

“…The primary objective is to minimize electricity costs while ensuring efficient use of renewable energy resources. The proposed method utilizes the Meerkat Optimization Algorithm (MOA), which is compared against other optimization algorithms, including Genetic Algorithm (GA), Particle Swarm Optimization (PSO), and Teaching-Learning-Based Optimization (TLBO). …”
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Fortifying visual-inertial odometry: Lightweight defense against laser interference via a shallow CNN and Optimized Kalman Filtering by A. Ebrahimi, M.R. Mosavi, A. Ayatollahi

“…Moreover, for power-sensitive applications, such as those relying on batteries, an Optimized Kalman Filter (OKF) is used to merge two distinct positioning sources, offering a more efficient alternative to recurrent neural networks like LSTMs. …”
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Can Robots Get Some Human Rights? A Cross-Disciplinary Discussion by Priya Persaud, Aparna S. Varde, Weitian Wang

“…This paper offers a comprehensive discussion of this complex question through cross-disciplinary scholarly sources from computer science, ethics, and law. The computer science perspective dissects hardware and software of robots to unveil whether human behavior can be efficiently replicated. …”
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Harnessing digital health technologies and real-world evidence to enhance clinical research and patient outcomes by Shreyash Mahadik, Prerona Sen, Ekta J. Shah

“…Furthermore, advancements in the integration of artificial intelligence and the application of pharmacogenomics results in more effective, efficient, and personalized healthcare delivery. Nonetheless, these developments are met with critical challenges, and the lack of standardized global regulatory frameworks creates disparities in how this data is utilized across jurisdictions. …”
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Introduction to OmniPES: A Novel Modelica Library for Power Systems Modeling and Analysis by Marcelo Aroca Tomim, Ricardo Mota Henriques, Joao A. Passos Filho

“…Notable features include sigmoid-based switches that enforce reactive power constraints in power sources during steady-state or quasi-steady-state operation. …”
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Leveraging Explainable Artificial Intelligence in Solar Photovoltaic Mappings: Model Explanations and Feature Selection by Eduardo Gomes, Augusto Esteves, Hugo Morais, Lucas Pereira

“…Additionally, we propose a feature selection methodology utilizing the explanation values to produce more efficient models, by reducing data requirements while maintaining performance within a threshold of the original model. …”
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Enantioselective construction of silicon-stereogenic vinylsilanes from simple alkenes by Kailin Yin, Jinyu Zhang, Deng Pan, Shu-Han Chen, Song Chen, Yufeng Shi, Genping Huang, Dongbing Zhao

“…Abstract The diverse utility of acyclic vinylsilanes has driven the interest in the synthesis of enantioenriched vinylsilanes bearing a Si-stereogenic center. …”
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Investigating the role of foreign aid, FDI, and remittance on the public health of selected South Asian countries by Md. Atik Hasan, Shabikunnahar Suborna, Afrida Jinnurain Urbee

“…Developing countries, especially South Asian countries still need research and policies to efficiently utilize the contributions of these external capital sources in their health sector. …”
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