Groundwater quality parameters prediction based on data-driven models by Mohammed Falah Allawi, Yasir Al-Ani, Arkan Dhari Jalal, Zainab Malik Ismael, Mohsen Sherif, Ahmed El-Shafie

“…This study focuses on evaluating groundwater quality metrics in the Alnekheeb basin located in Iraq to obtain a more suitable and sustainable water source, which plays a pivotal role in policy development and strategies for more efficient utilization of groundwater. …”
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Performance Evaluation of the Optimized Design Ratio Between the Diameters of the Basin and Curved Blade in the Gravitational Water Vortex Turbine by Christie Claire D. BOISER, Lance Arthur Lim CARPIO, Philip Jun S. CELERINOS, Joven Dy S. LEE, Gary G. PINILI

“…With this, the lack of access to electricity can be addressed by utilizing the potential of the Philippines’ abundant bodies of water. …”
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Scalable Semantic Adaptive Communication for Task Requirements in WSNs by Hong Yang, Xiaoqing Zhu, Jia Yang, Ji Li, Linbo Qing, Xiaohai He, Pingyu Wang

“…Wireless Sensor Networks (WSNs) have emerged as an efficient solution for numerous real-time applications, attributable to their compactness, cost effectiveness, and ease of deployment. …”
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Design and construction of an Arduino-based load-shedding management system for improving electricity consumption in a medium-sized creative office building by Olumuyiwa Amusan, Benjamin Olorunfemi, Ayomide Fagboyo

“…This paper explores the feasibility of managing load shedding in an office building with a standalone energy source, assessing its impact on optimizing electricity consumption and contributing to operational efficiency, sustainability, and resilience. …”
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An Improved Fast Prediction Method for Full-Space Bistatic Acoustic Scattering of Underwater Vehicles by Ruichong Gu, Zilong Peng, Yaqiang Xue, Cong Xu, Changxiong Chen

“…The scattering sound field is represented as the product of the acoustic scattering transfer function and the sound source density function. By utilizing target surface mesh information and partial scattered sound pressure data as known inputs, the method predicts other bistatic scattering sound fields through numerical integration, matrix theory, and the least squares method. …”
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Robust Co-planning of Water-Energy Nexus for Industrial Parks by Zhisong LIU, Tao WANG, Yan FENG, Xiaoyang LIU, Ning GAO, Cheng WANG

“…With the continuous development and utilization of renewable energy and the continuous emergence of efficient energy conversion technologies, the interdependence among power, natural gas, heating and other energy systems is increasly strengthened, and the energy supply system develops in a multi-energy coupling way. …”
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Impact of Extractant Type and pH on Yttrium Recycling from End of Life Fluorescent Lamp by Tulay Koc Delice, Gulsah Turker, Huseyin Eren Obuz, Belma Soydas Sozer

“…Secondary REE sources include various products such as fluorescent lamps, light-emitting diodes (LEDs), magnets, wind turbines, electric motors, and batteries. …”
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Enhancing Power Density in Switched Reluctance Generators Through Split Axial Segmentation by Parlin Siagian, Ira Devi Sara, Tarmizi Tarmizi, Nasaruddin Nasaruddin

“…So, the improvements in torque ripple reduction and power density provide valuable directions for optimizing SRGs, with further potential for enhancing driving turbine performance and utilizing better materials for greater energy harvesting efficiency.…”
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Eco‐Friendly Biomass‐Based Carbon Dots, Carbon Nanotubes, Graphene, and Their Derivatives for Enhanced Oil Recovery: A New Horizon for Petroleum Industry by Ruhul Amin Foisal, Prof. Dr. Abu Bin Imran, Prof. Dr. Al‐Nakib Chowdhury

“…Abstract Oil extraction from reservoirs has never been easy, particularly when easily accessible oil sources run out. Enhanced oil recovery (EOR) is a dynamic area of petroleum engineering that seeks to maximize the quantity of crude oil that can be retrieved from an oil field. …”
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OpenTrack: a Sensor for Monitoring the Usage of Territory by D. Strigaro, A. Rollandi, M. Cannata

“…The system was developed using open source hardware and software. Processes video frames on edge using a lightweight machine learning model optimized for embedded devices and periodically transmits summary data (object type, direction, timestamp) via NB-IoT to a centralized data platform. …”
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Green Chemistry Approaches for Processing of Coniferous Needles and Greenery to Implement Circular Bioeconomy Concepts in Forestry by Mezulis Marcis, Arbidans Lauris, Millere Linda Liene, Lauberts Maris, Grinfelds Uldis, Klavins Maris

“…Forestry is a significant biomass source, yet a substantial portion of its by-products, including coniferous greenery, remains underutilized. …”
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Integrating UAV-Based Multispectral Data and Transfer Learning for Soil Moisture Prediction in the Black Soil Region of Northeast China by Tong Zhou, Shoutian Ma, Tianyu Liu, Shuihong Yao, Shenglin Li, Yang Gao

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Design of Chinese traditional Jiaoyi (Folding chair) based on Kansei Engineering and CNN-GRU-attention by Xinyan Yang, Nan Zhang, Jiufang Lv, Jiufang Lv, Jiufang Lv

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Assessment of financial management practices in the poultry industry using the Neutrosophic VIKOR method by Mayorga Díaz Mónica, Kevin Steven Yánez Pazuña, Jessica Paola Yánez Pazuña, Jorge Fernando Goyes García

“…The research used reliable secondary sources from 2018-2020 and employed the neutrosophic VIKOR method to prioritize management practices based on utility, regret, and effectiveness indexes, considering sustainability and operational efficiency. …”
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Performance optimization of photovoltaic induction motor pumping system with Sliding mode control by Lehssen Mohamed Yahya Sidi, Ahmed Essadki, Hbib Mahfoudh, Cherkaoui Mohamed

“…The work proposes a sliding mode control strategy, a solution that significantly enhances the performance of a photovoltaic water pumping system. The configuration utilizes a solar PV source with boost converter implementing, a two-level inverter for AC conversion and an induction motor mechanically linked to a centrifugal pump. …”
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AMMI analysis of G × E interaction and identification of fodder cowpea genotypes for phosphorus deficient condition by J. S. Suvadra1, Swarnalata Das2*, Dayanidhi Mishra1, Kailas Samal3, Manasi Dash1, Rajkumari Bhol4 and Sourav Ranjan Nanda1

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Integrating genomic evidence for an updated taxonomy of the bacterial genus Spiribacter by María José León, Blanca Vera-Gargallo, Rafael R. de la Haba, Cristina Sánchez-Porro, Antonio Ventosa

“…In Spiribacter species, streamlined genomes enhance survival in hypersaline environments by reducing non-essential genes and optimizing resource utilization. Key genes involved in osmoprotectant mechanisms, including those for the metabolism of myo-inositol, hydroxyproline, and L-proline, were identified and numerous transporters were noted, ensuring efficient nutrient acquisition and osmotic balance. …”
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Bio-organic fertilizer affects secondary cell wall biosynthesis of Dendrocalamus farinosus by inhibiting the phenylpropanoid metabolic pathway by Shangmeng Li, Ying Cao, Boya Wang, Wei Fan, Shanglian Hu

“…Our study offers insights into the efficient utilization of bamboo and lignocellulosic biomass, serving as a valuable resource for future research.…”
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Adaptive DDoS detection mode in software-defined SIP-VoIP using transfer learning with boosted meta-learner. by Rume Elizabeth Yoro, Margaret Dumebi Okpor, Maureen Ifeanyi Akazue, Ejaita Abugor Okpako, Andrew Okonji Eboka, Patrick Ogholuwarami Ejeh, Arnold Adimabua Ojugo, Chris Chukwufunaya Odiakaose, Amaka Patience Binitie, Rita Erhovwo Ako, Victor Ochuko Geteloma, Paul Avwerosuo Onoma, Asuobite ThankGod Max-Egba, Ayei Egu Ibor, Sunny Innocent Onyemenem, Elochukwu Ukwandu

“…The proposed ensemble demonstrates that it can efficiently identify malicious packets for DDoS attacks in network transactions.…”
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A Comparative Economic Analysis of Different Reproductive Management Strategies in Two Dairy Sheep Farms in Greece by Dimitra V. Liagka, Antonis P. Politis, Maria Spilioti, Eleftherios Nellas, Panagiotis Simitzis, Konstantinos Tsiboukas

“…As indicated, the breeding and sale of genetically improved animals can increase the financial results of a farm and offer alternative sources of income. In conclusion, AI results in more sustainable and economically efficient sheep farming. …”
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