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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Degradation of dyes by fungi: An overview on recent updates by Nagraj, Pankaj Kumar Chaurasia, Shashi Lata Bharati, Nagendra Sharma, Jaynath Kumar, Azhagu Madhavan Sivalingam

“…Different methods for the detoxification of dyes molecules have been studied like physical, chemical, and biological methods. Biological methods utilize the microbial sources (primarily fungi, bacteria, yeast, and microbial enzymes) and plants for the degradation and remediation of dyes pollutants. …”
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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

“…The study emphasises the importance of efficient rice cultivation management owing to its short growth cycles and vulnerability to flooding. …”
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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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Exploring the Impact of Large Language Models on Disease Diagnosis by Ibrahim Almubark

“…The review highlighted the widespread use of LLMs, such as GPT-4, ChatGPT, GPT-3.5, and LLaMA, with GPT-4 being the most frequently used in disease diagnostics due to its diverse applications, improved accuracy, and efficiency. This review shows that LLMs have utilized a variety of medical data sources, including general medical databases, specialized documents, medical images, and genomic data. …”
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Prediction of performance and emission features of diesel engine using alumina nanoparticles with neem oil biodiesel based on advanced ML algorithms by M. S. Aswathanrayan, N. Santhosh, Srikanth Holalu Venkataramana, Kurugundla Sunil Kumar, Sarfaraz Kamangar, Amir Ibrahim Ali Arabi, Sameer Algburi, Osamah J. Al-sareji, A. Bhowmik

“…Neem oil, a non-edible feedstock, was selected to avoid competition with food resources, while alumina nanoparticles were utilized for their catalytic properties to enhance combustion efficiency. …”
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Towards data-driven electricity management: multi-region uniform data and knowledge graph by Vid Hanžel, Blaž Bertalanič, Carolina Fortuna

“…The residential sector makes up 25% of global electricity consumption and has potential to improve efficiency and reduce CO2 footprint without sacrificing comfort. …”
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ANN-Based Design of a Hybrid Renewable Energy System for Hybrid Electric Vehicle Applications by Babu Jarapala Ramesh, Murty M.V.D.S. Krishna, Rajashekar Deva, Susheela N.

“…The ANN controller ensures maximum power point tracking (MPPT) from renewable sources like photovoltaics (PV), wind turbines (WTs), and fuel cells (FCs), utilizing DC-DC converters. …”
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A Distributed Low-Degree-of-Freedom Aerial Target Localization Method Based on Hybrid Measurements by Xiaoshuang Jiao, Jinming Chen, Lifeng Jiang, Weiping Li, Xiaochao Yang, Weiwei Wang, Jun Zhang

“…Then, frequency difference of arrival (FDOA) measurements are utilized to enhance the accuracy of parameter estimation. …”
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Fluorescence spectroscopy as a novel tool in hematological diagnostics by Nugzar Gomidze, Lali Kalandadze, Miranda Khajishvili, Omar Nakashidze, Izolda Jabnidze, Davit Jakobia, Kakha Makharadze

“…By integrating these two diagnostic approaches, this research highlights the potential of fluorescence-based techniques as a noninvasive and efficient tool for hematological diagnostics.…”
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Nutritional strategies for reducing nitrogen, phosphorus and trace mineral excretions of livestock and poultry by Lin LU, Xiu-dong LIAO, Xu-gang LUO

“…In general, element excretions may be reduced by avoiding the overfeeding of specific elements or using nutritional approaches to improve element utilizations by the animals. Several nutritional strategies are possible for minimizing N, P, and trace mineral excretions: 1) to accurately meet dietary N, P and trace mineral requirements of animals, which includes reducing the dietary crude protein contents with synthetic amino acids or feeding high rumenally undegraded protein, minimizing the adequate levels of dietary P and trace elements, adopting phase or group-feeding program, and considering the bioavailable trace mineral contents in the feed ingredients; 2) to improve the bioavailabilities of dietary N, P, and trace elements for animals by using some additives (enzymes, growth promoters, probiotics, prebiotics, vitamin D isomers, and organic acids); 3) to use highly available P sources or organic trace elements. …”
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Utilisation of tools to facilitate cross-border communication during international food safety events, 1995–2019: a realist synthesis protocol by Carmen Joseph Savelli, Céu Mateus

“…Introduction Efficient communication and coordination between countries is needed for prevention, detection and response to international food safety events. …”
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Dynamic Management Tool for Improving Passenger Experience at Transport Interchanges by Allison Fernández-Lobo, Juan Benavente, Andres Monzon

“…The tool is based on a Long Short-Term Memory (LSTM) model and heterogeneous data sources, including an Automatic Passenger Counting (APC) system, which are utilized to estimate the real-time passenger flow and area occupancy. …”
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Adapted Machinery and Technology for Alpine Pasture Dairy Farming by A. B. Baragunov

“…(Materials and methods) Prototypes of milking machines and cooling equipment utilizing natural cold sources were developed and produced. …”
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2 × 2 MIMO dual-wideband ground radiation antenna with a T-shaped isolator for Wi-Fi 6/6E/7 applications by Jeonghwan Kim, Hyunwoong Shin, Seokju Wi, Hoseung Lee, Rui Li, Hyeongdong Kim

“…To achieve dual-wideband resonance, an impedance control method using LC parameter value control is employed by utilizing the coupling between the ground plane, the voltage source, the feed loop, and the radiation loop in each radiation band. …”
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Assessment of Collaboration-Based and Non-Collaboration-Based Logistics Risks with Plithogenic SWARA Method by Alptekin Ulutaş, Ieva Meidute-Kavaliauskiene, Ayse Topal, Ezgi Demir

“…<i>Conclusions</i>: The proposed technique will help logistics professionals make informed decisions and manage and analyze risks more efficiently. This study will also contribute to the literature as it is the first time that logistical risks have been addressed by utilizing the Plithogenic SWARA technique.…”
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Deep Learning-Based Emergency Rescue Positioning Technology Using Matching-Map Images by Juil Jeon, Myungin Ji, Jungho Lee, Kyeong-Soo Han, Youngsu Cho

“…In real-world experiments, our method, utilizing multi-source data, achieved a positioning success rate of 85.27%, which meets the US FCC’s E911 standards for location accuracy and reliability across various conditions and environments. …”
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Model of the malicious traffic classification based on hypergraph neural network by Wenbo ZHAO, Zitong MA, Zhe YANG

“…As the use and reliance on networks continue to grow, the prevalence of malicious network traffic poses a significant challenge in the field of network security.Cyber attackers constantly seek new ways to infiltrate systems, steal data, and disrupt network services.To address this ongoing threat, it is crucial to develop more effective intrusion detection systems that can promptly detect and counteract malicious network traffic, thereby minimizing the resulting losses.However, current methods for classifying malicious traffic have limitations, particularly in terms of excessive reliance on data feature selection.To improve the accuracy of malicious traffic classification, a novel malicious traffic classification model based on Hypergraph Neural Networks (HGNN) was proposed.The traffic data was represented as hypergraph structures and HGNN was utilized to capture the spatial features of the traffic.By considering the interrelations among traffic data, HGNN provided a more accurate representation of the characteristics of malicious traffic.Additionally, to handle the temporal features of traffic data, Recurrent Neural Networks (RNN) was introduced to further enhance the model’s classification performance.The extracted spatiotemporal features were then used for the classification of malicious traffic, aiding in the detection of potential threats within the network.Through a series of ablative experiments, the effectiveness of the HGNN+RNN method was verified.These experiments demonstrate the model’s ability to efficiently extract spatiotemporal features from traffic, resulting in improved classification performance for malicious traffic.The model achieved outstanding classification accuracy across three widely-used open-source datasets: NSL-KDD (94% accuracy), UNSW-NB15 (95.6% accuracy), and CIC-IDS-2017 (99.08% accuracy).These results underscore the potential significance of the malicious traffic classification model based on hypergraph neural networks in enhancing network security and its capacity to better address the evolving landscape of network threats within the domain of network security.…”
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Assessment of Wave Energy in the South China Sea Based on GIS Technology by Gang Lin, Long Tan Shao, Chong Wei Zheng, Xiao Bin Chen, Li Feng Zeng, Zhi Hong Liu, Rong Bo Li, Wei Lai Shi

“…The results should provide accurate, efficient references for wave energy researchers and decision-makers. …”
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