NevusCheck: A Dysplastic Nevi Detection Model Using Convolutional Neural Networks by Andreluis Ingaroca-Torres, Lucía Heredia-Moscoso, Alvaro Aures-García

“…Therefore, the research aims to develop a model to diagnose dysplastic nevi using a deep learning network whose classification is based on the pre-trained architecture EfficientNet-B7, which was selected for its high classification accuracy and low computational complexity. …”
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Probability updating-based adaptive hybrid coding

“…To achieve the best coding efficiency,probability updating based huffman code and structured code were jointly used,and the best context model was selected according as the correlation of adjacent syntax elements. …”
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On the Location of a Constrained k-Tree Facility in a Tree Network with Unreliable Edges by Abdallah W. Aboutahoun, Eman Fares

“…The time complexity of the proposed algorithm is Olkn. Examples are provided to illustrate the performance of the proposed algorithm.…”
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Synergistic use of multi-sensor satellite data for mapping crop types and land cover dynamics from 2021 to 2023 in Northeast Thailand by Savittri Ratanopad Suwanlee, Surasak Keawsomsee, Emma Izquierdo-Verdiguier, Álvaro Moreno-Martínez, Sarawut Ninsawat, Jaturong Som-ard

“…Results demonstrated the high potential and excellent efficiency of the RF, utilising an extensive reference dataset and the continuous temporal monthly information of gap-filled data. …”
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Analysis of Meteorological Fluctuations and Long-Term Drought Assessment in the Southern Coasts of Iran: An Observational and Climate Modeling Approach by Seyed Hassan Alavinia, Mahdi Salmanpour, Atefeh Abkar

“…Conclusions: The analysis of the SPI (Standardized Precipitation Index) with observational data demonstrated that drought patterns in this region are complex and influenced by multiple factors, including changes in atmospheric systems, oceanic circulation patterns, and human activities. …”
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Experimental Investigation on Energy Dissipation in Diversion Tunnel at the Head of Canal by ZHONG Kun, YAN Fu-gen, GUO Jian-hua, YI Shun, LI Min-kang

“…[Objective] The flow patterns of energy dissipation inside tunnels are complex, and theoretical calculations cannot meet design requirements. …”
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Study on numerical simulation of rock breaking by PDC wear teeth cutting by Maosheng CAI, Hongbo WANG, Chunjiang ZHANG, Sai LI, Shuting CHENG

“…Conclusions: The force on a cutter with excessive wear is more complex and variable, increasing the risk of fatigue failure. …”
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A multiple biomolecules-based rapid life detection protocol embedded in a rover scientific subsystem for soil sample analysis by Akib Zaman, Fardeen Ashraf, Haseena Khan, Faria Noshin Ahona, Oliullah Samir, Asif Mahmud Rayhan, Sadia Nur Nazifa, Hafsah Mahzabin Chowdhury, Md. Mahbubur Rahman

“…This research focuses on the objective of the extraterrestrial life detection domain and seeks to provide an efficient protocol that can produce life detection decisions based on empirical data obtained through chemical analysis under time and resource-constrained conditions. …”
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mbctools: A User-Friendly Metabarcoding and Cross-Platform Pipeline for Analyzing Multiple Amplicon Sequencing Data across a Large Diversity of Organisms by Barnabé, Christian, Sempéré, Guilhem, Manzanilla, Vincent, Millan, Joel Moo, Amblard-Rambert, Antoine, Waleckx, Etienne

“…The software, designed to run in a console, offers an interactive experience, guided by keyboard inputs, assisting users along the way through data processing and hiding the complexity of command lines by letting them concentrate on selecting parameters to apply in each step of the process. …”
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STVMamba: precipitation nowcasting with spatiotemporal prediction model by Maoyang Zou, Longrui Wen, Yuanyuan Huang, Yuan He, Jingzhong Xiao

“…However, recurrent models struggle with suboptimal parallel computational efficiency and error accumulation, convolutional models face challenges in capturing long-range dependencies, and Transformer models are limited by their quadratic time complexity. …”
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ARM-Net: A Tri-Phase Integrated Network for Hyperspectral Image Compression by Qizhi Fang, Zixuan Wang, Jingang Wang, Lili Zhang

“…The second stage concentrates on high-fidelity compression, efficiently encoding both spatial and spectral information within the sampled band clusters. …”
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Estimation of sugarcane biomass from Sentinel-2 leaf area index using an improved SAFY model (SAFY-Sugar) by Jingyuan Xu, Xin Du, Taifeng Dong, Qiangzi Li, Yuan Zhang, Hongyan Wang, Miao Liu, Jiong Zhu, Jian Yang

“…The Simple Algorithm for Yield Estimation model (SAFY), a semi-physical crop growth model grounded in light use efficiency theory has been widely adopted for satellite-based biomass estimation in major field crops. …”
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Special Issue on Contemporary Research Studies in Operations Research, Business Analytics, and Business Intelligence by Viswanath Kumar Ganesan, S. Vinodh, Malolan Sundararaman, M. Vimala Rani, M. Mathirajan

“…This study conducts a comparative analysis with existing methods to demonstrate the efficiency of the proposed approach. Mathematical Study of Dispersion of Nano Biosensors in an Artery with Multiple Stenosis: This work examines nano-biosensors in a diseased artery with multiple stenoses, determining the temperature, velocity of nanofluid, and transport coefficients. …”
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A Triple-Channel Network for Maritime Radar Targets Detection Based on Multi-Modal Features by Kaiqi Wang, Zeyu Wang

“…This method comprehensively improves the traditional multi-channel inputs by extracting highly complementary multi-modal features from radar echoes, namely, time-frequency image, phase sequence and correlation coefficient sequence. Appropriate networks are selected to construct a triple-channel network according to the internal data structure of each feature. …”
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Reflection and transmission of circularly polarized light for a layered periodic system with distributed defects by Valeriy V. Yatsyshen

“…The paper presents the results of calculating the frequency and angular spectra of reflection and transmission of light for a periodic structure with complex embedded defects. Methods. Using the characteristic matrix method, the energy reflection and transmission coefficients are calculated for such a structure using circularly polarized light. …”
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ASSESSMENT OF GYMNASTIC SKILLS AT PHYSICAL EDUCATION – THE CASE OF BACKWARD ROLL by Marjeta Kovač

“…For formative assessment, it has to be mentioned that the measuring scales and criteria should differ according to the purpose of evaluation, the developmental stage of pupils and the complexity of evaluated movement. …”
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Recent Developments in the Metal-Catalyzed Synthesis of Nitrogenous Heterocyclic Compounds by Xueguo Zhang, Wenxuan Bi, Zhenyu Cao, Jian Shen, Baohua Chen

“…Transition metal complexes, with their ability to activate and selectively functionalize organic substrates, have revolutionized various areas of synthetic chemistry. …”
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Sensitivity analysis of the INRA 2018 feeding system for ruminants by hybrid local and global approaches: Comparing the contribution of dietary input variables to multiple response... by Seoyoung Jeon, Tristan Senga Kiessé, Sophie Lemosquet, Pierre Nozière

“…The sensitivity of 5 selected animal responses (output variables) to input variables was analyzed: DMI, milk protein yield (MPY), energy in methane (ECH4), nitrogen utilization efficiency (NUE), and the ratio between urine and total N excretion (UN/TN). …”
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Variability in performance of genetic-enhanced DXA-BMD prediction models across diverse ethnic and geographic populations: A risk prediction study. by Yong Liu, Xiang-He Meng, Chong Wu, Kuan-Jui Su, Anqi Liu, Qing Tian, Lan-Juan Zhao, Chuan Qiu, Zhe Luo, Martha I Gonzalez-Ramirez, Hui Shen, Hong-Mei Xiao, Hong-Wen Deng

“…Models based on regression with least absolute shrinkage and selection operator (LASSO), selected based on the coefficient of determination (R2) from a model selection subset of 5,973 individuals from British white population. …”
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Machine learning approach for 2D abrasion mapping in Sediment Bypass Tunnels: a case study of Koshibu SBT, Japan by Ahmed Emara, Sameh A. Kantoush, Mohamed Saber, Tetsuya Sumi, Vahid Nourani, Emad Mabrouk

“…Overall, this study demonstrates the potential of machine learning algorithms for predicting tunnel abrasion in SBTs.Paper highlightsThis study introduces a validated 2D model for tunnel abrasion based on field data, contributing to improved sediment management in SBTs.ASM Model efficiently predicts abrasion mapping in SBT, achieving 86.4% overall accuracy.High sensitivity and specificity in distinguishing abraded and non-abraded areas.Captures four complex abrasion patterns in straight and curved sections but is limited to relatively small wave-like patterns.Geometric and hydraulic parameters, particularly the elongated distance and flow velocity, exhibit significant impacts in the ASM model.…”
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