POTMEC: A Novel Power Optimization Technique for Mobile Edge Computing Networks by Tamilarasan Ananth Kumar, Rajendirane Rajmohan, Sunday Adeola Ajagbe, Oluwatobi Akinlade, Matthew Olusegun Adigun

“…The experiments demonstrate that the proposed model reduces transmission energy consumption by 27.5% compared to baseline methods while maintaining the latency below 15 ms in ultra-dense scenarios. …”
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Polymer electrolyte membrane fuel cell performance Revolutionized: Artificial intelligence-validated asymmetric flow channels enhance mass transport via hybrid analytical-numerical... by Nima Ahmadi, Ghader Rezazadeh

“…Experimental validation confirms a current density improvement of up to 5.6 % over conventional designs, while Artificial Intelligence (AI)-driven optimization via a hybrid Convolutional Neural Network and Genetic Algorithm independently identifies the same optimal configuration. …”
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Energy-Saving Light Source Spectrum Optimization by Considering Object's Reflectance by Jingjing Zhang, Run Hu, Bin Xie, Xingjian Yu, Xiaobing Luo, Zhihua Yu, Lijun Zhang, Hong Wang, Xing Jin

“…In this study, a spectrum optimization method by means of a genetic algorithm to minimize the light energy along the absorbed wavelengths while maintaining the light quality of the light source was proposed. …”
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Performance of Hybrid Transmission of a D2D Communication With Energy Harvesting and Ambient Backscattering by Saranya Karattupalayam Chidambaram, Yogesh Kumar Choukiker, Abhijit Bhowmick

“…End-to-end overall throughput maximization problem for optimal sensing time and power allocation to SU and relay is studied. An algorithm is proposed to maximize the D2D network throughput. …”
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Enhancing Power Allocation in DAS: A Hybrid Machine Learning and Reinforcement Learning Model by S. Gnanasekar, K. C. Sriharipriya

“…ML models utilize historical data to forecast optimal power levels, while MARL agents dynamically adjust power allocation based on real-time conditions, aiming to enhance spectral efficiency, minimize interference, and optimize energy efficiency. …”
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Multi-Level Foreground Prompt for Incremental Object Detection by Jianwen Mo, Ronghua Zou, Hua Yuan

“…Extensive experiments on PASCAL VOC and MS COCO datasets demonstrate that this approach significantly improves model plasticity while maintaining stability.…”
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Topology optimization of a cargo gripper design using the minimum effort principle by Gnezdilov S.G.

“…The primary goal of the research is to enhance the stiffness and reliability of the structure while reducing its mass. The left gripper arm, subjected to complex loading conditions, is selected as the optimization object. …”
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Minimizing Power Consumption and Interference Mitigation of Downlink NOMA HetNets by IRS-Supported Aerial Base Stations by Osamah Thamer Hassan Alzubaidi, Mhd Nour Hindia, Kaharudin Dimyati, Kamarul Ariffin Noordin, Faizan Qamar, Atef Abdrabou

“…To tackle this problem, a meta-heuristic algorithm based on the modified gray wolf optimization (MGWO) and an alternation max/min technique based on the developed Block Coordinate Descent (DBCD) are proposed. …”
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Genome-wide comparative analysis of variability and population structure between autochthonous Turkish chicken breeds and commercial hybrid lines by Eymen Demir, Bahar Argun Karsli, Demir Özdemir, Umit Bilginer, Huriye Doğru, Sarp Kaya, Veli Atmaca, Nimet Tufan, Ebru Demir, Taki Karsli

“…A total of 94,208 bi-allelic SNPs were common between DNZ and GRZ, while 33,284 SNPs were retained among all populations after the quality filtering process. …”
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Biomarkers of microvascularture by ultra Micro-angiography (UMA) assist to identify papillary thyroid carcinoma (PTC) with atypia of undetermined significance by Qingsong Wang, Zhewei Li, Jie Zhang, Sijie Zhang, Lijun Wang, Hongjian Yao, Hong Zhang, Jing Li, Shuo Wang, Jinglai Sun, Wenhui Zhang, Hui Yu

“…Results Group A comprised 58 benign nodules and 104 PTCs, while Group B consisted of 60 benign nodules and 78 PTCs. …”
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Surface water quality assessment for drinking and pollution source characterization: A water quality index, GIS approach, and performance evaluation utilizing machine learning anal... by Abhijeet Das

“…Overall, the LOR, KNN, ANN, and SVM algorithms were all surpassed by the RF algorithm. Additionally, the prediction and simulation results show an increasing tendency in the changes in water quality over the examined time. …”
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Epidemiological aspects of nephrolithiasis and chronic diseases of the cardiovascular system combination by R. V. Royuk, S. K. Yarovoy, N. A. Guseva, Sh. L. Voskanyan, V. V. Royuk, D. B. Rodin

“…Share of the patients with kidney stones in the shape of corals is 3,4% of the whole sample. Average sizes of kidney stones of the patients with congestive heart failure are 9,2–11,8 mm which is different from the sizes in whole sample – 6,9–9,5 mm.Conclusion. …”
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Seasonal to decadal variability and persistence properties of the Euro-Atlantic jet streams characterized by complementary approaches by H. Banderier, H. Banderier, A. Tuel, T. Woollings, O. Martius, O. Martius, O. Martius

“…</p> <p>First, we apply the self-organizing map (SOM) clustering algorithm to create a 2D distance-preserving discrete feature space for the tropopause-level summer wind field over the North Atlantic. …”
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Komparasi Data Mining Naive Bayes dan Neural Network memprediksi Masa Studi Mahasiswa S1 by Azahari Azahari, Yulindawati Yulindawati, Dewi Rosita, Syamsuddin Mallala

“…By using the data mining algorithm Naive bayes and neural network, the student graduation in STMIK Widya Cipta Dharma (WiCiDa) can be predicted. …”
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Contagious infection-free medical interaction system with machine vision controlled by remote hand gesture during an operation by Van Doi Truong, Hyun-Kyo Lim, Seongje Kim, Than Trong Khanh Dat, Jonghun Yoon

“…A proposed depth enhancement algorithm is combined with a deep learning hand landmark detector to generate hand landmarks. …”
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Ciphertext policy hidden access control scheme based on blockchain and supporting data sharing by Ruizhong DU, Tianhe ZHANG, Pengliang SHI

“…Methods:Firstly,an efficient attribute vector and policy vector generation algorithm is proposed using vector compression technology, which judges whether user attributes satisfy the access policy through the inner product operation result of attribute vector and policy vector.Afterwards, the prime order bilinear group and attribute encryption technology were used to achieve fine-grained access control while avoiding the leakage of user attribute values; using the interstellar file system to store the ciphertext and storing the hash address of the ciphertext on the blockchain through a smart contract,it realizes distributed and reliable access control and reduces the storage overhead of the blockchain. …”
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Epidemiological and clinical characteristics of bacterial co-detection in respiratory syncytial virus-positive children in Wenzhou, China, 2021 to 2023 by Xiaoxiao Qu, Xuanmei Ye, Jian Yu, Feifei Zheng, Yatian Tang, Fangling Yuan, Qipeng Xie

“…Predictive features were selected via the Boruta algorithm and modeled using XGBoost, with SHAP applied for interpretability. …”
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Soil Organic Matter Content Prediction Using Multi-Input Convolutional Neural Network Based on Multi-Source Information Fusion by Li Guo, Qin Gao, Mengyi Zhang, Panting Cheng, Peng He, Lujun Li, Dong Ding, Changcheng Liu, Francis Collins Muga, Masroor Kamal, Jiangtao Qi

“…The top 15 spectral bands with the highest correlation were selected from 260 spectral bands using the Correlation Coefficient Method (CCM), Boruta algorithm, and Successive Projections Algorithm (SPA). …”
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Hepatocentric approach to achieving compensation of diabetes mellitus in people with non-alcoholic steatohepatitis by N.M. Protas, I.O. Kostitska, M.V. Bielinskyi

“…After 3 months of treatment, group I showed a tendency toward norma­lization of glycemic control parameters, while the level of glycated hemoglobin significantly decreased (∆ –22.92 %, p < 0.001) in group II. …”
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Using Calibration Transfer Strategy to Update Hyperspectral Model for Quantitating Soluble Solid Content of Blueberry Across Different Batches by Biao Chen, Xuhuang Huang, Shenwen Tan, Guangjun Qiu, Huaiyin Lin, Xuejun Yue, Junzhi Chen, Wenshan Zhong, Xuantian Li, Le Zhang

“…Model updating is a challenging task with regard to maintaining the performance of non-destructive detection models while using hyperspectral imaging techniques for detecting the internal quality of fresh fruits like blueberries. …”
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