Optimal multiobjective design of an autonomous hybrid renewable energy system in the Adrar Region, Algeria by Abderrahmane Mehallou, Benalia M’hamdi, Abderrahmane Amari, Madjid Teguar, Abdelaziz Rabehi, Mawloud Guermoui, Amal H. Alharbi, El-Sayed M. El-kenawy, Doaa Sami Khafaga

“…This paper investigates four recent methodologies based on Multi-objective Particle Swarm Optimization (MOPSO), Multi-objective Ant Lion Optimizer (MOALO), Multi-objective Dragonfly Algorithm (MODA), and Multi-objective Evolutionary Algorithm (MOGA) to identify the optimal sizing of a microgrid (MG) integrated with hybrid renewable energy sources (RES). …”
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Evaluating the feasibility of AI-predicted bpMRI image features for predicting prostate cancer aggressiveness: a multi-center study by Kexin Wang, Ning Luo, Zhaonan Sun, Xiangpeng Zhao, Lilan She, Zhangli Xing, Yuntian Chen, Chunlei He, Pengsheng Wu, Xiangpeng Wang, ZiXuan Kong

“…Materials and methods A total of 878 PCa patients from 4 hospitals were retrospectively collected, all of whom had pathological results after radical prostatectomy (RP). A pre-trained AI algorithm was used to select suspected PCa lesions and extract lesion features for model development. …”
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Design of Super Resolution and Fuzzy Deep Learning Architecture for the Classification of Land Cover and Landsliding Using Aerial Remote Sensing Data by Junaid Ali Khan, Muhammad Attique Khan, Mohammed Al-Khalidi, Dina Abdulaziz AlHammadi, Areej Alasiry, Mehrez Marzougui, Yudong Zhang, Faheem Khan

“…The efficacy and stability of convolutional neural networks increase in image classification with the specified use of feature selection algorithm that causes remarkably improved decision making. …”
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The Interaction Mechanisms of Swimming Biomimetic Fish Aligned in Parallel Using the Immersed Boundary Method by Xiaowei Cai, Tonghua Xu, Jun Zhang, Yanmei Jiao, Haiyang Yu

“…This work innovatively develops an algorithm based on the Direct-Forcing Immersed Boundary Method (DF-IBM) and implements it in an efficient, modular software program written in C++. …”
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Cluster analysis of cutting technique—a valuable approach for assessing anterior cruciate ligament injury risk? by Lasse Mausehund, Anri Patron, Sami Äyrämö, Sami Äyrämö, Tron Krosshaug

“…Cluster analysis of cutting technique, using a K-means algorithm, did not prove to be a valuable approach for assessing ACL injury risk in this dataset.…”
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Study on the Calibration Transfer of Soil Nutrient Concentration from the Hyperspectral Camera to the Normal Spectrometer by Xue-Ying Li, Guo-xing Ren, Ping-Ping Fan, Yan Liu, Zhong-Liang Sun, Guang-Li Hou, Mei-Rong Lv

“…The hyperspectral data were transferred by a variety of methods, such as single conventional calibration transfer algorithm, combination of multiple calibration transfer algorithms, and calibration transfer algorithm after spectral pretreatment. …”
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A comprehensive analysis of molecular characteristics of hot and cold tumor of gastric cancer by Chenxi Lv, Tianwei Chen, Jiangtao Li, Yuqiang Shan, Hong Zhou

“…Subsequently, 101 machine learning algorithm combinations were employed to construct a prognostic model based on the identified gene modules. …”
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New prognostic model in patients with advanced urothelial carcinoma treated with second-line immune checkpoint inhibitors by Ernest Choy, Yohann Loriot, Fabio Calabrò, Cora N Sternberg, Guillermo De Velasco, Daniel Castellano, Roubini Zakopoulou, Aristotelis Bamias, Nicholas James, Axel Merseburger, F Lopez-Rios, Mario Kramer, Kimon Tzannis

“…Nevertheless, existing algorithms may not be sufficient following the introduction of immunotherapy. …”
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Quantitative evaluation method of stroke association based on multidimensional gait parameters by using machine learning by Cheng Wang, Cheng Wang, Cheng Wang, Zhou Long, Zhou Long, Xiang-Dong Wang, Xiang-Dong Wang, You-Qi Kong, Li-Chun Zhou, Wei-Hua Jia, Pei Li, Jing Wang, Xiao-Juan Wang, Tian Tian

“…The overall detection accuracy of the model based on KNN, SVM and Randomforest algorithms is 92.86, 92.86 and 90.00%, respectively. …”
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A Mitochondria‐Related Signature in Diffuse Large B‐Cell Lymphoma: Prognosis, Immune and Therapeutic Features by Zhen‐Zhong Zhou, Jia‐Chen Lu, Song‐Bin Guo, Xiao‐Peng Tian, Hai‐Long Li, Hui Zhou, Wei‐Juan Huang

“…The risk model was defined using Least Absolute Shrinkage and Selection Operator (Lasso) regression algorithm, and its prognostic value was further examined in independent datasets. …”
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Fuzzy Logic-Based Arrival Time Estimation for Indoor Navigation Using Augmented Reality by Muhammad Hidayat Mohammed Sohif, Muhammad Imran Mardzuki, Azhar Mohd Ibrahim, Ahmad Jazlan

“…This study proposes a mobile AR application for indoor navigation that uses an intelligent signage algorithm based on fuzzy logic to estimate arrival time. …”
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Aplikasi Pertimbangan Wisata di Pulau Lombok dengan Metode Fuzzy Mamdani & Algoritma Genetika by Zainul Harir, Ida Bagus Ketut Widiartha, Royana Afwani

“…The defuzzification used is the Mean of Max (MOM). Genetic Algorithm (GA) is used in providing optimal budget allocation in traveling on Lombok IslandThe results of testing with manual calculations and different defuzzification models have 100% accurate, the application of GA obtained optimal budget allocation on crossover probability (pc) and mutation probability (pm) combination with (pc) 0.7 and (pm) 0.2. …”
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A secure and energy-efficient routing using coupled ensemble selection approach and optimal type-2 fuzzy logic in WSN by S. Ambareesh, Pundalik Chavan, S. Supreeth, Rajesh Nandalike, P. Dayananda, S. Rohith

“…The IT2FLS model dynamically adapts routing selections by means of assessing key parameters, consisting of dynamic accept as true with factors, node power ranges, course delays, and energy consumption fees, whilst the RSA algorithm exceptional-tunes the bushy common sense club features to make certain most beneficial cluster head choice and reliable multi-hop communication paths. …”
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Interpretable machine learning model for predicting clinically significant prostate cancer: integrating intratumoral and peritumoral radiomics with clinical and metabolic features by Wenjun Zhao, Mengyan Hou, Juan Wang, Dan Song, Yongchao Niu

“…After feature selection via the recursive feature elimination (RFE) algorithm, intratumoral radiomic score (intra-rad-score) and peritumoral radiomic score (peri-rad-score) were constructed. …”
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OPTIMIZATION PROBLEM FOR NUMBER OF LOGIC GATES NEEDED TO IMPLEMENT MULTIPLE BOOLEAN FUNCTIONS USING DECODER by M. Onai, H. Skopyk

“…Among them, the greedy algorithm is chosen for its simplicity in program implementation. …”
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Advancements and trends in mangrove species mapping based on remote sensing: A comprehensive review and knowledge visualization by Yuqi Wu, Chunyan Lu, Kexin Wu, Wenna Gao, Nuocheng Yang, Jingwen Lin

“…Research in this field still faces several challenges in data fusion, classification algorithm enhancement, increased number of classification species, and large-scale long-term mapping. …”
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Complex treatment for dry eye disease in intermediate uveitis by E.B. Tatarnikova, O.I. Krivosheina

“…Krivosheina</b> </p> <p> <b>Siberian State Medical University, Tomsk, Russian Federation</b> </p> <p> <i><b>Aim</b>: to study clinical presentations of dry eye disease (DED) in intermediate uveitis (pars planitis) and develop a complex treatment algorithm including tear substitutes, reparative, and anti-inflammatory therapies combined with laser photocoagulation.…”
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New Circumpapillary Retinal Nerve Fiber Layer Thickness and Bruch’s Membrane Opening-Minimum Rim Width Assessment in Nonglaucomatous Eyes with Large Discs by Serife Bayraktar, Gulnar Sultanova, Zafer Cebeci, Emre Altinkurt, Belgin Izgi

“…The new circumpapillary RNFL scanning algorithm centered on BMO is better to assess the RNFL thickness and BMO-MRW in large discs for the early diagnosis of glaucoma.…”
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OPTIMISASI PARAMETRIK FASAD BILAH HORIZONTAL TERHADAP PENCAHAYAAN ALAMI DENGAN METRIK USEFUL DAYLIGHT ILLUMINANCE (UDI) DI KOTA LHOKSEUMAWE by Atthaillah Atthaillah, Rizki Armanto Mangkuto

“…Metode optimasi dengan Genetic Algorithm (GA) dengan Galapagos digunakan untuk mendapatkan solusi-solusi rotasi dan lebar bilah yang optimal terhadap pencahayaan alami.  …”
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Palette-based image recoloring based on moving least squares(基于移动最小二乘的图像重着色) by 周家伟(ZHOU Jiawei), 黄子康(HUANG Zikang), 彭俊豪(PENG Junhao), 李盛善(LI Shengshan), 刘晓静(LIU Xiaojing), 杜正君(DU Zhengjun)

“…Specifically, we first employ an improved K-means algorithm to extract the palette of the input image. …”
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