Oil spill classification based on satellite image using deep learning techniques by Abubakar Salihu Abba, Noorfa Haszlinna Mustaffa, Siti Zaiton Mohd Hashim, Razana Alwee

“…This paper applied three deep-learning algorithms for satellite image classification, including ResNet50, VGG19, and InceptionV4; They were trained and tested on an open-source satellite image dataset to analyze the algorithms' efficiency and performance and correlated the classification accuracy, precisions, recall, and f1-score. …”
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Investigation on the polyethylene glycol based composite phase change materials with coating flame-retardant for battery thermal management by Tingyu Wang, Jian Deng, Jiexin Du, Wensheng Yang, Yueyu Zeng, Tingting Wu, Zhonghao Rao, Xinxi Li

“…Pure battery-powered ships and vehicles have been rapidly developed as green transportation, the safety of battery packs as the only energy source has attracted much attention. Herein, an innovative polyethylene glycol (PEG) based solid-solid phase change materials (SSPCM) with high flame-retardant properties has been prepared and utilized in the battery module. …”
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IoMT and Blockchain Synergy: A Novel Approach to Health Data Validation and Storage by Abbas Syed Muhammad Ali, Sikandar Ali, Khan Ziaullah, Moon-Il Joo, Hee-Cheol Kim

“…Rigorous performance evaluations demonstrate the potential of our framework to transform healthcare workflows, improve operational efficiency, and maximize the utility of IoMT data for improved healthcare delivery and patient-centric models of care. …”
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Quasi-synchronous thermocompensation for ISFET-based ionometric devices. Part 2: Implementation by Alexey Pavluchenko, Aleksandr Kukla

“…Circuit diagrams for the main components of transducer — namely, the programmable voltage source for ISFET biasing and the transimpedance amplifier for the sensor output readout — are presented, as well as the experimental estimation of the ISFET sensor thermometric properties and the efficiency of thermocompensation.…”
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Reliable DC Shipboard Power Systems—Design, Assessment, and Improvement by Robin van der Sande, Aditya Shekhar, Pavol Bauer

“…Targeting a climate-neutral maritime sector drives the adoption of the all-electric ship (AES). While AESs can utilize both ac and dc shipboard power systems (SPS), a dc system offers advantages in efficiency, power density, and source synchronization. …”
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Deciphering city-level residential AMI data: An unsupervised data mining framework and case study by Han Li, Miguel Heleno, Kaiyu Sun, Wanni Zhang, Luis Rodriguez Garcia, Tianzhen Hong

“…This study opens pathways for future research, including integrating more data sources and collaborating with utility companies to validate hypotheses and further explore building energy use insights.…”
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A Lightweight Transformer Model for Defect Detection in Electroluminescence Images of Photovoltaic Cells by Yang Yang, Jing Zhang, Xin Shu, Lei Pan, Ming Zhang

“…To ensure solar panels function well, efficient and accurate defect detection of PV modules is essential. …”
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Comparative study of agricultural parcel delineation deep learning methods using satellite images: Validation through parcels complexity by Amine Hadir, Mohamed Adjou, Olga Assainova, Gaëtan Palka, Marwa Elbouz

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YOLOv8n-DSDL: A lightweight dual-backbone network with decoupled self-attention for cotton maturity detection by Meiqi Zhong, Linjing Wei, Henghui Mo

“…The model integrates the original YOLOv8n with a lightweight StarNet to form a dual-backbone structure, enabling efficient multi-channel feature fusion and enhancing fine-grained maturity feature extraction. …”
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Spatiotemporal Data Augmentation of MODIS‐Landsat Water Bodies Using Adversarial Networks by Soukaina Filali Boubrahimi, Ashit Neema, Ayman Nassar, Pouya Hosseinzadeh, Shah Muhammad Hamdi

“…As a result, there is a clear trade‐off between space and time when considering a single data source. For the efficient monitoring of multiple environmental resources, various Earth science applications need data at high spatial and temporal resolutions. …”
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Documents to procure gamma irradiation chamber and license for operation in blood center by Rakesh Kumar Luhar, Kishore Maheshwari, Ripal J. Shah, V. Harimoorthy

“…The significance of efficient lymphocyte inactivation has driven the widespread adoption of Gamma Irradiation Chambers (GICs) utilizing radiation sources such as Cesium-137 (Cs-137) or Cobalt-60 (Co-60). …”
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Improving the Physical and Mechanical Properties of Cornstarch-Based Materials Using Polymer Admixtures by Shibli Sadik Tulip, Ewumbua Monono, Ademola Hammed, Niloy Chandra Sarker

“…Cement is widely used as an efficient binding agent in concrete; however, the production of cement is the second-largest source of carbon emissions. …”
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Eliminating viscosity challenges in continuous cultivation of yeast producing a GLP-1 like peptide by Ioannis Voulgaris, Anders Nygaard Nielsen, Tine Petersen, Sanne Jensen

“…Abstract Background The emergence of GLP-1s for the treatment of diabetes, obesity and other diseases has led to increased focus on finding efficient ways to produce the peptides in sufficient amounts to satisfy the ever-increasing demand. …”
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Prognosis of air quality index and air pollution using machine learning techniques by Mostafa M. Abdelmalek, Hatem Mahmoud, Hassan Shokry

“…Such tools can assist in devising more efficient air pollution control strategies, contributing to improved public health and environmental sustainability.…”
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Estimating net energy for activity for grazing beef cattle by integrating GPS tracking data, in-pasture weighing technology, and animal nutrition models by Logan Riley Vandermark, Jameson R. Brennan, Krista Ann Ehlert, Hector M. Menendez

“…Beef cattle production is largely dependent on rangelands for cattle to convert unusable plant-based fibers into an animal-based protein source for human consumption. Solutions are needed to meet both the growing demand for animal-based proteins and the desire of managers to produce energy-efficient cattle. …”
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Sustainable production of bacterial nanocellulose from date fruit waste using Bacillus haynesii for waste valorisation and crystal violet dye removal by Rabab R. Makharita, Noura El-Ahmady El-Naggar, Afra Mohammed Baghdadi, Ragaa A. Hamouda

“…This study explores the production of bacterial nanocellulose (BNC) by Bacillus strains utilizing fruit waste as a sustainable carbon source. …”
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Decades in the Making: The Evolution of Digital Health Research Infrastructure Through Synthetic Data, Common Data Models, and Federated Learning by Jodie A Austin, Elton H Lobo, Mahnaz Samadbeik, Teyl Engstrom, Reji Philip, Jason D Pole, Clair M Sullivan

“…Clinicians and researchers struggle in the digital era to harness RWD for digital health research in an efficient and ethically and morally appropriate manner. …”
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Ultrafast Time-Stretch Optical Coherence Tomography Using Reservoir Computing for Fourier-Free Signal Processing by Weiqing Liao, Tianxiang Luan, Yuanli Yue, Chao Wang

“…By focusing solely on the temporal characteristics of the interference signal, regardless of frequency chirp, we demonstrate a more efficient solution to address the nonlinear wavelength sweeping issue. …”
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Detecting Advanced Persistent Threat Exfiltration With Ensemble Deep Learning Tree Models and Novel Detection Metrics by Xiaojuan Cai, Haibo Zhang, Chuadhry Mujeeb Ahmed, Hiroshi Koide

“…We propose an effective and efficient network monitoring method to address this gap and detect APT exfiltration during data transfer. …”
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Effectiveness of sustainable oil extraction techniques: A comprehensive review by Rushikesh Kailas Gaikwad, Imdadul Hoque Mondal, Kshirod Kumar Dash, Ayaz Mukarram shaikh, Kovács Béla

“…Supercritical fluid extraction is an efficient extraction technique for temperature-sensitive compounds that utilizes supercritical fluids under high pressure and temperature. …”
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