Weak peak identification of gamma spectrum based on singular value decomposition by CHEN Feng, ZHOU Jianbin, LIU Yi

“…BackgroundWhen performing gamma-ray spectroscopy analysis of samples with low levels of radioactive nuclide content, the weak peaks are difficult to be identified.PurposeThis study aims to propose a new method for identifying peaks in γ spectra by utilizing singular value decomposition (SVD) to improve the detection efficiency of weak peaks.MethodsFirstly, the matrix construction of spectrum data was improved by transforming the γ spectrum into a two-way cyclic matrix, and singular value decomposition of matrix was performed to get singular values and singular vectors. …”
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Load frequency control in isolated island city microgrids using deep graph reinforcement learning considering extensive scenarios by Ping He, Xiongwei Huang, Ruobing He, Linkun Yuan

“…In addition, transfer learning is utilized to bolster the agents’ learning efficacy and adaptability to new conditions. …”
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Study on natural gas metering technology and pricing methods in China by Yunyun XIE, Yao SU, Pengtao LI, Fan ZHANG, Wenyao LIU, Jianwen GUO

“…ConclusionPromoting reforms in natural gas metering and pricing methods not only enhances resource utilization efficiency but also ensures market fairness and transparency. …”
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Smart Tool-Related Faults Monitoring System Using Process Simulation-Based Machine Learning Algorithms by Arash Ebrahimi Araghizad, Faraz Tehranizadeh, Kemal Kilic, Erhan Budak

“…In this paper a novel approach for monitoring tool-related faults in milling processes by utilizing process simulation-based machine learning algorithms, specifically Random Forest algorithms, for fault detection is presented. …”
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The Impact of Diet on Performance in Endurance Sports - Literature Review by Aleksandra Broda, Kacper Hoksa, Ewa Dubniewicz, Paula Majewska, Alicja Staszek, Wiktoria Łoskot, Jan Szwech, Mateusz Matczak, Karol Jasiński, Krzysztof Jodłowski

“…A significant factor influencing the efficiency of this process is an appropriate diet, which ensures optimal conditions for maintaining performance, recovery, and achieving maximum results during competitions. …”
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A Review on Software-Defined Networking for Internet of Things Inclusive of Distributed Computing, Blockchain, and Mobile Network Technology: Basics, Trends, Challenges, and Future... by Shakila Shafiq, Md. Sazzadur Rahman, Shamim Ahmed Shaon, Imtiaz Mahmud, A. S. M. Sanwar Hosen

“…As both of these concepts are new, they have received increasing attention from academic or industrial sources to emphasize their potential for integration. …”
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The Optimal Power Flow of Multiple Energy Carriers in Networked Multi-Carrier Microgrid by Vahid Amir, mahdi azimian

“…The proposed model is capable of minimizing the system costs by utilizing various sources and integrating the multiple-energy infrastructures as well as handling the energy management of the network. …”
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Greener solvents in extraction of proteins and peptides by Katarína Maráková

“…The sample pretreatment still represents a fundamental aspect of any analytical workflow, and the implementation of sustainable and efficient extraction of proteins is essential to satisfy the increasing requirements for high-quality extraction of proteins from their natural sources. …”
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Classification of Complex Power Quality Disturbances Based on Lissajous Trajectory and Lightweight DenseNet by Xi Zhang, Jianyong Zheng, Fei Mei, Huiyu Miao

“…To achieve a rapid response and highly accurate classification of power quality disturbances (PQDs), this paper proposes an efficient classification algorithm for PQDs based on Lissajous trajectory (LT) and a lightweight DenseNet, which utilizes the concept of Lissajous curves to construct an ideal reference signal and combines it with the original PQD signal to synthesize a feature trajectory with a distinctive shape. …”
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Assessing the Spatial Sustainability of Urban Bus Transit: A Socioeconomic Sustainability Perspective by Fei Shi, Jingang Zhang, Tiantian Wu

“…In this study, we employed various data sources, including mobile phone signaling data, residential travel survey data, map API data, and bus credit card data. …”
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Analysis of Waste of Customer Service Time for New Installations with a Lean Service Approach at PT XYZ by Floresta Andriano De Hautsmand, Enny Aryanny

“…The study utilizes Lean Service tools, particularly Value Stream Mapping (VSM) and Process Cycle Efficiency (PCE) analysis, to assess the time spent on various activities within the installation process. …”
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A Multi-Level Semi-Automatic Procedure for the Monitoring of Bridges in Road Infrastructure Using MT-DInSAR Data by Diego Alejandro Talledo, Anna Saetta

“…Since existing datasets often provide only point geometries for bridge locations, additional data sources such as OpenStreetMaps-derived repositories have been utilized to obtain linear representations of bridges. …”
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Optimal Subsampling for Upper Expectation Parametric Regression by Zhaolei Liu

“…However, in the realm of big data, it is exceedingly common for the error term to exhibit varying distributions due to discrepancies in data collection timing and sources. In this article, we expand upon and refine the upper expectation parameter regression model, introducing a novel upper expectation loss form, which handles distribution heterogeneity via group-specific <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msub><mi>μ</mi><mi>i</mi></msub></semantics></math></inline-formula>, to ensure consistent and efficient parameter estimation. …”
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Optimization of Fiber Digestibility and Methane Reduction with Gambier Leaf Extract from Pangkalan for Sustainable Ruminant Farming by Roni Pazla, Asmuddin Natsir, Rahmad Hidayat, Nurzainah Ginting, Mardiati Zain, Antonius, Aslizah Mohd-Aris, Zaitul Ikhlas, M. Zhorif Hidayat

“…Ruminant livestock production plays an important role in providing animal protein sources, but faces major challenges in terms of feed utilization efficiency and environmental impact due to methane emissions. …”
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Leveraging prior mean models for faster Bayesian optimization of particle accelerators by Tobias Boltz, Jose L. Martinez, Connie Xu, Kathryn R. L. Baker, Zihan Zhu, Jenny Morgan, Ryan Roussel, Daniel Ratner, Brahim Mustapha, Auralee L. Edelen

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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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Thermal Characteristics of Multilayer Insulation Materials for Flexible Thin-Film Solar Cell Array of Stratospheric Airship by Kangwen Sun, Qinzhen Yang, Yang Yang, Shun Wang, Jianming Xu, Qiang Liu, Yong Xie, Peng Lou

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Biofabrication of Nanosilver From Punica granatum Peel Extract and Their Anticoagulant Applications by Randa Mohammed Dhahi

“…For utilizing biodegradable waste as a natural source for nanofabrication, this study was designed to highlight a simple, sustainable, safe, environmentally friendly, and energy consumption reduction waste management approach using hot aqueous extract of Punica granatum (pomegranate) peel waste (PPE) to biosynthesize silver nanoparticles (PPE-AgNPs). …”
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Local Cloud Design for Ease of Management and Security of Sensitive Data in Business Organizations by Binastya Anggara Sekti, Ryan Putra Laksana, Rudi Heri Marwan, Mohamad Iqbal Ajie Laksono, Nizirwan Anwar

“…This system utilizes open-source technology and is equipped with an encrypted Virtual Private Network (VPN) to support remote work models (Work From Home, WFH) and work flexibility from anywhere (Work From Anywhere, WFA). …”
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Microalgae as A Bioremediation Agent for Palm Oil Mill Effluent: Production of Biomass and High Added Value Compounds by Nita Ariestiana Putri, Resti Nurmala Dewi, Rizka Lestari, Rizka Ayu Yuniar, Luluk Majidah Ma'arif, Ricky Erianto

“…The pollutant load in POME can serve as a source of nutrients for microalgae growth. As a result, the goal of this work was to utilize Spirulina sp. and Nannochloropsis oculata to reduce the nutritional content of POME while producing biomass rich in high-value chemicals. …”
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