Numerical Solution of Burgers–Huxley Equation Using a Higher Order Collocation Method by Aditi Singh, Sumita Dahiya, Homan Emadifar, Masoumeh Khademi

“…This equation illustrates a model for describing the interaction between reaction mechanisms, convection effects, and diffusion transport. …”
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The concept of geo-demographic situation and geo-demographic typology of the subjects of the Russian Federation by Fedorov Gennady

“…The regions are described through demographic, economic, social, settlement, ecological, and ethno-demographic categories, the most common of which according to the authors point of view are the typological features of the geo-demographic situation. The subjects of the Russian Federation provided the research material to apply 15 typological traits and identify three types of geo-demographic situation, 9 subtypes of the first level, sub-types of the second level and a model subtype of the third level. …”
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The algorithnt software program for cakulating the mechanical parameters of multilayer rod by Vytautas Kleiza, Rita Laurikietytė

“…While the program is running the user can watch the calcu­lated values of the parameters, plots of the main dependencies and explanations of main operations being performed with the program variables. The algorithm of the program assumes that the model multilayer structural elements is idealized, i.e. uniaxial stretching, which is simple and quite adequate. …”
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Enhancing Intrusion Detection Systems with Dimensionality Reduction and Multi-Stacking Ensemble Techniques by Ali Mohammed Alsaffar, Mostafa Nouri-Baygi, Hamed Zolbanin

“…We employ the LogitBoost algorithm with XGBRegressor for feature selection, complemented by a Residual Network (ResNet) deep learning model for feature extraction. …”
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Identification of hypertension gene expression biomarkers based on the DeepGCFS algorithm. by Zongjin Li, Liqin Tian, Libing Bai, Zeyu Jia, Xiaoming Wu, Changxin Song

“…In addition, this algorithm's performance of gene feature vector clustering was better than other comparative methods. …”
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Radiomic analysis of patient and interorgan heterogeneity in response to immunotherapies and BRAF-targeted therapy in metastatic melanoma by Riyue Bao, Yana G Najjar, Diwakar Davar, John M Kirkwood, Jason John Luke, Sarah Newman, Hassane M Zarour, Afsaneh Amouzegar, Rivka R Colen, Murat Ak, Priyadarshini Mamindla, Serafettin Zenkin, Vishal Peddagangireddy, Sarah Behr, Alexandra G Tompkins, Zane N Gray, Rebekah E Dadey, Nasim Batavani, Nursima Ak, Taha Yasin Pak, Mohammadreza Amjadzadeh, Amy Goodman, Darcy L Ploucha, Curtis Tatsuoka

“…Integration of clinical variables improved the models’ performance. Comparison of models between treatments and across organ sites suggested mostly non-overlapping DC or PD features. …”
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Enhancing heart disease classification with M2MASC and CNN-BiLSTM integration for improved accuracy by Vivek Pandey, Umesh Kumar Lilhore, Ranjan Walia, Roobaea Alroobaea, Majed Alsafyani, Abdullah M. Baqasah, Sultan Algarni

“…The novel model incorporates a pre-trained VGG16 model to enhance feature extraction and improve the overall predictive accuracy. …”
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Laser-Induced Breakdown Spectroscopy Quantitative Analysis Using a Bayesian Optimization-Based Tunable Softplus Backpropagation Neural Network by Xuesen Xu, Shijia Luo, Xuchen Zhang, Weiming Xu, Rong Shu, Jianyu Wang, Xiangfeng Liu, Ping Li, Changheng Li, Luning Li

“…Hence chemometrics based on artificial neural network (ANN) algorithms have become increasingly popular in LIBS analysis due to their extraordinary ability in nonlinear feature modeling. The hidden layer activation functions are key to ANN model performance, yet common activation functions usually suffer from problems such as gradient vanishing (e.g., Sigmoid and Tanh) and dying neurons (e.g., ReLU). …”
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Detection of Apple Trees in Orchard Using Monocular Camera by Stephanie Nix, Airi Sato, Hirokazu Madokoro, Satoshi Yamamoto, Yo Nishimura, Kazuhito Sato

“…An original dataset of orchard images was created and used to train Single Shot MultiBox Detector (SSD) and You Only Look Once (YOLO) models. Performance was evaluated using mean Average Precision (mAP). …”
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The analysis of landscape design and plant selection under deep learning by Lian Li, JiYon Lee

“…The key innovation of this paper lies in the first application of multi-scale feature fusion and attention mechanisms within the FCN model, effectively improving the segmentation capability of complex landscape images. …”
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Drug–Target Affinity Prediction Based on Cross-Modal Fusion of Text and Graph by Jucheng Yang, Fushun Ren

“…This study proposes CM-DTA, a cross-modal feature fusion model that integrates drug textual representations and molecular graphs with target protein amino acid sequences and structural graphs, enhancing feature diversity and expressiveness. …”
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Innovative Ghost Channel Spatial Attention Network with Adaptive Activation for Efficient Rice Disease Identification by Yang Zhou, Yang Yang, Dongze Wang, Yuting Zhai, Haoxu Li, Yanlei Xu

“…Compared to traditional models such as ResNet50 and EfficientNet V2, GCA-MiRaNet demonstrates significant advantages in overall performance, especially on embedded devices. …”
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Early Breast Cancer Detection Based on Deep Learning: An Ensemble Approach Applied to Mammograms by Youness Khourdifi, Alae El Alami, Mounia Zaydi, Yassine Maleh, Omar Er-Remyly

“…<b>Results</b>: The proposed ensemble model achieved significant performance improvements. …”
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Detection and Classification of Dress Code Violations in Educational Environments Using Deep Learning by Aminu Suleiman Bashir, Ahmed Ibrahim Mahmud, Muhammad Yahya

“…The Uniformity across the techniques substantiates the feature extraction performance of the model and demonstrates its generalization ability. …”
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Anomaly detection in cropland monitoring using multiple view vision transformer by Xuesong Liu, Yansong Liu, He Sui, Chuan Qin, Yuanxi Che, Zhaobo Guo

“…Anomaly detection is then carried out, and the model’s performance is evaluated using metrics like sensitivity (92.8%), specificity (93.1%), accuracy (93.5%), and F1 score (94.1%). …”
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Robust audio authenticity detection based on One-Class learning by LIANG Ziqi, ZHANG Xulong, WANG Jianzong, XIAO Jing

“…In addition, to address the scarcity of fake voice data, the more versatile and robust self-supervised model Wav2vec2 was introduced for feature extraction, further improving the recognition accuracy of the model when faced with unknown attacks. …”
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Gastrointestinal Tract Disease Classification Using Residual-Inception Transformer With Wireless Capsule Endoscopy Images Segmentation by Erdal Ozbay

“…To diversity model training effectiveness and capture intricate anatomical details of the GI tract, feature learning with a cross-channel technique was used along with the Residual block and Inception module. …”
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CSEA-Net: A channel–spatial enhanced attention network for lung tumor segmentation on CT images by Wenhu Liu, Jinhao Sun, Han Li, Yan Wang, Zhaohui Wang

“…In conclusion, our proposed model exhibits excellent performance in the accurate segmentation of lung nodules and has the potential to assist doctors in automatically distinguishing the locations of lung tumors.…”
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Personalized trajectory inference framework integrating driving behavior recognition and temporal dependency learning. by Jinhao Yang, Junwen Cao, Mingyu Fang

“…Experimental evaluations demonstrate DS-TCTM's superior performance across multiple dimensions. The model achieves a mean RMSE of 4.46 and NLL of 3.89 across varying prediction horizons, with 35.8% error reduction attained after 100 hyperparameter optimization iterations. …”
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Mathematic design and computer analysis of curve-surface conjugated face gear pair by Jun Wang, Jianpeng Dong, Sibao Wang, Yuliang Xiao

“…The mathematic model and computer analysis model of curve-surface conjugated face gear pair are developed on the basis of the principle of differential geometry. …”
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