Change in Fractional Vegetation Cover and Its Prediction during the Growing Season Based on Machine Learning in Southwest China by Xiehui Li, Yuting Liu, Lei Wang

“…Southwest China (SWC) is characterized by complex topography, diverse climate types, and rich vegetation types. …”
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Problems and Prospects for the Application of Neural Networks for the Sphere of Education by T. M. Shamsutdinova

“…Obviously, the practical implementation of complex neural network systems of this level is a very difficult task and can be solved so far only at the level of individual subsystems. …”
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Explainable machine learning to quantify the value of proximal remote sensing in latent energy flux estimation by Srishti Gaur, Guler Aslan-Sungur (Rojda), Andy VanLoocke, Darren T. Drewry

“…Data-driven models have the potential to address these issues by offering flexible predictor selection and more efficient utilization of the information in predictor sets. …”
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Research on the detection of obstacles in front of unmanned vehicles in opencast mines based on binocular vision by Shunling RUAN, Huiguo ZHANG, Qinghua GU, Caiwu LU, Di LIU, Jing MAO

“…The Feffol network model proposed in this paper selects Efficient-v2 as the backbone network structure for feature extraction in the feature extraction stage, selects the Ebifpn feature pyramid module based on the SppCSP structure with SppCSP structure to improve the feature sensing field while enhancing the feature information of different sizes, uses the Focal Loss and CIoU Loss loss functions to balance positive and negative samples, and solve the problem of method failure when there is no intersection between the prediction frame and the real detection frame. …”
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Research on Underwater Sensor Network Adaptive Clustering Algorithm for Marine Environment Monitoring by Libin Xue, Chunjie Cao, Rongxin Zhu

“…This demonstrates that the algorithm can achieve efficient energy utilization and notably enhance network performance.…”
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Path Algebra-Driven Classification Solution to Realize User-Centric Performance-Oriented Virtual Network Embeddings by Stelios Prekas, Panagiotis A. Karkazis, Panagiotis Trakadas

“…The intense diversity of the Next-Generation Networking environments like 6G and the forthcoming deployment of immersive applications with varied user-specific requirements transform the efficient allocation of resources into a real challenge. …”
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Urgent surgical patient classification: Development and validation of a novel instrument using the Delphi approach by Priscila Buck de Oliveira Ruiz, Jaqueline Lopes Gouveia, Paula Buck de Oliveira Ruiz, João Daniel de Souza Menezes, Matheus Querino da Silva, Emerson Roberto dos Santos, Alba Regina de Abreu Lima, Vânia Maria Sabadoto Brienze, Júlio César André, Rita de Cássia Helu Mendonça Ribeiro

“…Developing an instrument to objectively identify the complexity of care required for each case is challenging. …”
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Deepmol: an automated machine and deep learning framework for computational chemistry by João Correia, João Capela, Miguel Rocha

“…Despite its potential to revolutionize the field, researchers are often encumbered by obstacles, such as the complexity of selecting optimal algorithms, the automation of data pre-processing steps, the necessity for adaptive feature engineering, and the assurance of model performance consistency across different datasets. …”
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PRINCIPLES AND METHODS OF WHEAT BREEDING ON TOLERANCE TO DISEASES IN KRIA NAMED AFTER P.P. LUKIYANENKO by I. B. Ablova, L. A. Bespalova, F. A. Kolesnikov, G. D. Nabokov, V. Ya. Kovtunenko, V. A. Filobok, R. O. Davoyan, Zh. N. Khudokormova, I. M. Mokhova, Yu. G. Levchenko, A. S. Tarkhov

“…It has been determined that the most efficient method to create the varieties tolerant to head fusarium is a complex hybridization, intended on the pyramiding of the genes with specific and unspecific resistance. …”
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3D CAD model classification based on Convolutional Neural Network by DING Bo, YI Ming

“…Due to the intrinsic complexity of 3D CAD models, the automatic model classification methods are scarce. …”
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Application of Concentration-Area fractal modeling and artificial neural network to identify Cu, Zn±Pb geochemical anomalies in Hashtjin area, NW of Iran by Ali Imamalipour, Hamed Ebrahimi, Amir reza Abdollahpur

“…Results The study area exhibits complex geochemical features. In such a complex setting, it is essential to implement multiple methods in combination to separate anomalies from the background accurately. …”
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Preprocessing optimization algorithm based on partial channel information feedback in wideband OFDM systems by WANG Xia1, ZHANG Guo-mei1, XUE Tao2

“…To mitigate inter-block interference（IBI） and inter-carrier interference（ICI） in an orthogonal frequency divi-sion multiplexing（OFDM） system,pre-processing approaches at transmitters based on full channel state information（CSI） had been proposed,the performance improved and receiver simplied.However,feeding full CSI back would oc-cupy scarce bandwidth and was impractical sometimes for the systems with high real-time demand.To deal with this problem,a preprocessing optimization based on partial CSI feedback was investigated and three selected preprocessing approaches of optimization matrix were developed and tested.Computer simulation results showed that the proposed op-timization algorithm can effectively cancel IBI and ICI and significantly improve the performance in wideband OFDM systems.Compared with the pre-processing approaches at transmitters based on full CSI,under the condition of meeting the demand for quality of services（QoS）,the proposed scheme has high spectral efficiency and low feedback and com-putation complexity.…”
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Optically tunable catalytic cancer therapy using enzyme-like chiral plasmonic nanoparticles by Haeun Kang, Subin Yu, Ryeong Myeong Kim, Youngbi Kim, Sang Chul Shin, Dohyub Jang, Jeong Hyun Han, Sugyeong Hong, Eunice EunKyeong Kim, Sun Hee Kim, Dong June Ahn, Jeong Woo Han, Sehoon Kim, Ki Tae Nam, Luke P. Lee, Dong Ha Kim

“…Abstract Cascade enzymatic reactions in living organisms are fundamental reaction mechanisms in coordinating various complex biochemical processes such as metabolism, signal transduction, and gene regulation. …”
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Research on Personal Loan Default Risk Assessment Based on Machine Learning by Liu Guangsen

“…In the present era of rapid development of the Internet and big data, the scale of personal loans and the complexity of personal credit data are growing rapidly. …”
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Assessment of Microsatellite Genetic Diversity of Cultured Eriocheir sinensis Populations from Jiangsu and Anhui by Yuting HU, Jun LING, He JIANG, Huan WANG, Tingshuang PAN, Guoqing DUAN, Huaxing ZHOU, Min YANG, Tong LI

“…Analysis of molecular variance (AMOVA) and the coefficient of genetic differentiation (Fst) were performed using Arlequin 3.5 software. …”
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COLUMN PRECONCENTRATION OF URANIUM BY 1 -(2-PY RIDYLAZ0)-2-NAPHTHOL SUPPORTED ON NAPHTHALENE USING DIF'FERENTLAL PULSE POLAROGRAPHY

“…A solid chelating material, 1-(2-pyridy1azo)-2-naphthol (PAN) supported on naphthalene provides a rapid and highly selective means of preconcentration of uranium from aqueous solution. …”
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Multicomponent Adsorption of Paracetamol and Metronidazole by Batch and Fixed-Bed Column Processes: Application of Monte Carlo Bayesian Modeling by Letícia Reggiane de Carvalho Costa, Júlia Toffoli de Oliveira, Fayola Silva Silveira, Liliana Amaral Féris

“…These findings highlight the complexity of multicomponent adsorption and provide insights, contributing to the development of more efficient and sustainable water treatment technologies for pharmaceutical residues.…”
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An Adaptive Convolutional Neural Network With Spatio-Temporal Attention and Dynamic Pathways (ACNN-STADP) for Robust EEG-Based Motor Imagery Classification by Aaqib Raza, Mohd Zuki Yusoff

“…Furthermore, the model introduces three key innovations: Dynamic Multi-Scale Convolutional Learning for adaptive kernel selection, Unified Spatio-Temporal Attention (USTA) for efficient feature recalibration, and AFB for multi-scale feature fusion while preserving long-range dependencies. …”
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On Minimizing Influences Under Multi-Attribute Models by Bo-Yao Wang

“…The proposed framework enables structured and interpretable evaluation of influence in complex cooperative systems with heterogeneous participation and conflicting objectives.…”
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A novel adaptive multi-scale wavelet Galerkin method for solving fuzzy hybrid differential equations by V. Murugesh, M. Priyadharshini, Yogesh Kumar Sharma, Sultan Mesfer Aldossary, Shakti Kundu, Saksham Malik, Kedir Botamo Adem, Arshad Hashmi

“…Abstract Complex dynamical systems are represented by fuzzy hybrid differential equations (FHDEs), which describe systems that have mixed discrete and continuous behaviours with uncertainty. …”
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