Comprehensive optimization of active and reactive power scheduling in smart microgrids by accounting for line transmission losses using genetic algorithm by F.Z. Zahraoui, H.E. Chakir, M. Et-taoussi, H Ouadi

“…Smart microgrids face increasingly complex challenges in providing optimal power flow due to the integration of intermittent renewable energy sources, reactive power demand, and transmission line losses. …”
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Generic Method for Social–Environmental System Boundary Delineation—An Amalgamation of Spatial Data Integration, Optimization, and User Control for Resource Management by Mohammad Shahriyar Parvez, Xin Feng

“…Applied to the Rio Grande/Bravo Basin, this approach demonstrates the practical utility and computational efficiency of the proposed method, offering a scalable solution adaptable to various regions. …”
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The antioxidant capacity of pumpkin seed oil and its impact on the stability of heated sunflower oil by Haylana Mostafa Al-Turky, Maysoon Alhafez, Basel Ibrahim

“…Pumpkin seeds are considered to be agricultural residues locally, which can be utilized as a source for extracting vegetable oil. …”
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The influence of the lead eyewear geometry on the doses to the eye lens by William Souza Santos, Lucio Pereira Neves, Ana Paula Perini, Carla de Jesus Santos, Walmir Belinato, Linda V. E. Caldas

“…The results pointed out that the shielding efficiency has a strong dependence on the eyewear type utilized, which may be very useful for the decision-making during the acquisition of such equipments.…”
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Investigation of Transfer Learning Method for Motor Fault Detection by Prashant Kumar, Saurabh Singh, Doug Young Song

“…Electric motors (EMs) are utilized in multiple industries for their efficiency, precise speed and torque control, and robustness. …”
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A hybrid dual-mode trust management scheme for vehicular networks by Ibrahim Abdo Rai, Riaz Ahmed Shaikh, Syed Raheel Hassan

“…The simulation has been performed utilizing Veins, an open-source framework along with OMNeT++, a network simulator, and SUMO, a traffic simulator. …”
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Deep Learning Algorithm for Automatic Classification of Power Quality Disturbances by Fatema A. Albalooshi, M. R. Qader

“…To address the challenge of limited labeled PQ datasets, this research utilizes an open-source dataset generator to create large-scale datasets with annotated PQDs. …”
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Realizing the promise of machine learning in precision oncology: expert perspectives on opportunities and challenges by Vasileios Nittas, Kelly E. Ormond, Effy Vayena, Alessandro Blasimme

“…Our participants emphasized obstacles related to molecular data access, clinical utility, and guidelines. The availability of reliable and well-curated data to train and validate machine learning algorithms and integrate multiple data sources were described as constraints yet necessary for future clinical implementation. …”
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Bioconversion of Meat and Fish-Based Former Foodstuffs by Black Soldier Fly Larvae: A Sustainable Pathway for Reducing Food Waste, Enhancing Nutrient Recovery, with a Circular Econ... by Antonio Franco, Valentina Pucciarelli, Seyed Ali Hosseini, Eric Schmitt, Fulvia Bovera, Carmen Scieuzo, Patrizia Falabella

“…With appropriate risk management, this practice could significantly improve nutrient recycling, waste management, and the circular economy, urging a regulatory review to allow broader substrate utilization. These positive outcomes underscore the potential of integrating currently restricted animal-derived food waste streams into <i>H. illucens</i>-based bioconversion systems, unlocking additional value for the circular economy and contributing to more efficient waste management practices.…”
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Smart forecasting: Enhancing virtual power plant performance with analytical frameworks by Maja Celeska Krstevska, Petar Krstevski, Mare Srbinovska, Vesna Andova, Aleksandra Krkoleva Mateska

“…These forecasts can be utilized to optimize energy scheduling, demand response, and improve the grid integration of renewable energy sources, ultimately leading to more efficient and sustainable energy systems.…”
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Fluid interaction study: Hydrodynamic robot (FISHR) — Expansion of bioinspired soft robotic fish by Montana Ligman, Kioumars A. Rezaie, Ramya Shah, Chris Keeter, Bryson Sutterfield, Mirjam Fürth

“…We introduce an enhanced iteration of OpenFish, a previously developed open-source soft robotic fish. The original model, developed at Delft University of Technology, successfully emulated thunniform swimming through a unique propulsion system utilizing both active and passive tail segments. …”
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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 Synoptic Influences on Tropospheric Volcanic Ash Dispersion from the 2015 Calbuco Eruption Using WRF-Chem Simulations and Satellite Data by Douglas Lima de Bem, Vagner Anabor, Franciano Scremin Puhales, Damaris Kirsch Pinheiro, Fabio Grasso, Luiz Angelo Steffenel, Leonardo Brenner, Umberto Rizza

“…In WRF-Chem, we implemented a more efficient methodology to determine the Eruption Source Parameters (ESP). …”
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Performance Analysis for Exact and Upper Bound Capacity in DF Energy Harvesting Full-Duplex with Hybrid TPSR Protocol by Phu Tran Tin, Phan Van-Duc, Tan N. Nguyen, Le Anh Vu

“…In this paper, we investigate the full-duplex (FD) decode-and-forward (DF) cooperative relaying system, whereas the relay node can harvest energy from radiofrequency (RF) signals of the source and then utilize the harvested energy to transfer the information to the destination. …”
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Augmenting cybersecurity through attention based stacked autoencoder with optimization algorithm for detection and mitigation of attacks on IoT assisted networks by Kashi Sai Prasad, E. Laxmi Lydia, M. V. Rajesh, K. Radhika, Janjhyam Venkata Naga Ramesh, N. Neelima, Srinivasa Rao Pokuri

“…Currently, Machine Learning (ML) and Deep Learning (DL) techniques are utilized to address the security threats in IoT networks. …”
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Multimodal malware classification using proposed ensemble deep neural network framework by Sadia Nazim, Muhammad Mansoor Alam, Safdar Rizvi, Jawahir Che Mustapha, Syed Shujaa Hussain, Mazliham Mohd Su’ud

“…Malware detectors play a critical role in this endeavor, utilizing various techniques such as statistical analysis, static and dynamic analysis, and machine learning (ML) to compare signatures and identify threats. …”
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Design of an Improved Model for Anomaly Detection in CCTV Systems Using Multimodal Fusion and Attention-Based Networks by V. Srilakshmi, Sai Babu Veesam, Mallu Shiva Rama Krishna, Ravi Kumar Munaganuri, Dulam Devee Sivaprasad

“…This paper resolves these limitations by proposing a comprehensive scheme for multimodal Closed-Circuit Television (CCTV) video analysis. The utilized techniques in this paper comprise the Multimodal Deep Boltzmann Machine (MDBM), Multimodal Variational Autoencoder (MVAE) and Attention-based Fusion Networks, all of which fully utilize the learned representations. …”
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Designing a new tomato leaf disease classification framework using ran-based adaptive fuzzy c-means with heuristic algorithm model by Kanti Rongali Divya, Rao Gottapu Sasibhushana, Aruna Singam

“…The images related to tomato leaves are aggregated in the initial phase through online sources. Then, the images are forwarded to the pre-processing phase. …”
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Solar‐Powered Hierarchical Microenvironments with Authigenic Multi‐Field Synergies for Simultaneous Extraction of Freshwater and Cesium by Liuyan Zhu, Lin Zhu, Ting Shi, Ke Zhao, Wenwen He, Lu Han, Zeying Jin, Jialin Kang, Shanfu Sun, Ningning Cao, Zhen Yu

“…Abstract The escalating global resource and environmental crisis has intensified the urgent demand for efficiently extracting freshwater and critical metals from contaminated water sources, particularly nuclear‐contaminated seawater. …”
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Quasi-Continuous Wave Pumped Slab Laser Based on Nd:CTGS Crystal by Shutong Yang, Chuanrui Zhao, Pingzhang Yu, Zhengping Wang

“…With a quasi-continuous wave semiconductor laser as the pump source, the maximum average output power reached 7.01 W, with a wavelength of 1064.5 nm, a single-pulse energy of 35 mJ, and a slope efficiency of 31&#x0025;. …”
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