An ensemble deep learning framework for energy demand forecasting using genetic algorithm-based feature selection. by Mohd Sakib, Tamanna Siddiqui, Suhel Mustajab, Reemiah Muneer Alotaibi, Nouf Mohammad Alshareef, Mohammad Zunnun Khan

“…Recent advancements in computing power and the availability of large datasets have fueled the development of machine learning models. However, selecting the most appropriate features to enhance prediction accuracy and robustness remains a key challenge. …”
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Geographical feature and method factors significantly influence the reliability of ecological source information transmission at multi-scale by Kai Li, Wei Wu, Shiqi Tian, Linjuan Li, Zhe Li, Yue Cao

“…This study was conducted in two regions with distinct geographical features: the Yangtze River Delta Region (YRDR) and the Loess Plateau Region (LPR). …”
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Attention-Guided Sample-Based Feature Enhancement Network for Crowded Pedestrian Detection Using Vision Sensors by Shuyuan Tang, Yiqing Zhou, Jintao Li, Chang Liu, Jinglin Shi

“…AGFEN improves the semantic information of high-level features by mapping it onto low-level feature details through sampling, creating an effect comparable to mask modulation. …”
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DSAT: a dynamic sparse attention transformer for steel surface defect detection with hierarchical feature fusion by Shouluan Wu, Hui Yang, Liefa Liao, Chao Song, Yating Fang, Jianglong Fu, Tan Li

“…These defects exhibit diverse morphological characteristics and complex patterns, which pose substantial challenges to traditional detection models, particularly regarding multi-scale feature extraction and information retention across network depths. …”
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A feature fusion network with spatial-temporal-enhanced strategy for the motor imagery of force intensity variation by Ankai Ying, Ankai Ying, Ankai Ying, Jinwang Lv, Jinwang Lv, Jinwang Lv, Junchen Huang, Junchen Huang, Junchen Huang, Tian Wang, Peixin Si, Peixin Si, Jiyu Zhang, Guokun Zuo, Guokun Zuo, Guokun Zuo, Guokun Zuo, Jialin Xu, Jialin Xu, Jialin Xu, Jialin Xu

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GB-SAR Engineering Interference Suppression Method Integrating Amplitude-Phase Feature Analysis and Robust Regression by Wenting Zhang, Tao Lai, Yuanhui Mo, Haifeng Huang, Qingsong Wang, Zhihua Zhou

“…Current research on addressing engineering interference in GB-SAR deformation monitoring remains preliminary, with existing methods exhibiting limitations in interference pattern coverage, feature extraction, and algorithm robustness. …”
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Growth Performance, Feed Intake and vegf121 Gene Expression Feature of Dwarf Cyprinus carpio rubrofuscus by Shuozhen CHEN, Dongmei MA, Zaixuan ZHONG, Jiajia FAN, Huaping ZHU, Huanhuan SU

“…To explore the molecular mechanism of dwarf fish formation in the cultured population of Cyprinus carpio rubrofuscus and the functions of vascular endothelial growth factor (VEGF) in fish growth, the features of growth trait, feed intake, and feed utilization of dwarf fish were detected and analyzed. …”
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Automated lung cancer detection using novel genetic TPOT feature optimization with deep learning techniques by Mohamed Hammad, Mohammed ElAffendi, Muhammad Asim, Ahmed A. Abd El-Latif, Radwa Hashiesh

“…Deep learning, particularly convolutional neural networks (CNNs), offers an automated alternative capable of learning intricate patterns from medical images. However, previous deep learning models for lung cancer detection have faced challenges such as limited data, inadequate feature extraction, interpretability issues, and susceptibility to data variability. …”
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Kidney Ensemble-Net: Enhancing Renal Carcinoma Detection Through Probabilistic Feature Selection and Ensemble Learning by Zaib Akram, Kashif Munir, Muhammad Usama Tanveer, Atiq Ur Rehman, Amine Bermak

“…Our approach begins by acquiring spatial features from contrast-enhanced images using a Convolutional Neural Network (CNN) effectively capturing intricate patterns and structures characteristic of different carcinoma subtypes. …”
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Early breast cancer detection in CT scans using convolutional neural bidirectional feature pyramid network by Tahani Jaser Alahmadi, Adeel Ahmed, Amjad Rehman, Abeer Rashad Mirdad, Bayan Al Ghofaily, Shehryar Ali

“…Despite the potential of CT scans in visualizing breast tissue in 3D with high resolution, extracting meaningful patterns from these scans is difficult due to the complex and nonlinear nature of the tissue features. …”
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Age-Related Features of Reactive Catecholamine Shifts in the Spinal Cord in Acute Somatic Pain: Experimental Study by V. G. Ovsyannikov, A. V. Kapliyev

“…Age-related changes in the pattern of a spinal CA response in rats with ASP show a ontogenetic trend in the development of adrenal responsiveness from the immature generalized forms of an early postnatal period to the definitive differentiated economic reactions of the hypo-to-normergic type and then to the hyperergic destructive reactions of old age.…”
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A Quantitative Method for Characterizing the Spatial Layout Features of Ethnic Minority Rural Settlements in Southern China by Xi Luo, Jian Zhang

“…Investigating their spatial layout features and underlying determinants can provide both theoretical foundations and practical methodologies for the conservation and development planning of these settlements. …”
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Study on the Method of Vineyard Information Extraction Based on Spectral and Texture Features of GF-6 Satellite Imagery by Xuemei Han, Huichun Ye, Yue Zhang, Chaojia Nie, Fu Wen

“…The results indicate that three spectral features and five texture features under a 7 × 7 window have significant sensitivity to vineyard recognition. …”
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A correlation research of Ki67 index, CT features, and risk stratification in gastrointestinal stromal tumor by Huali Li, Gang Ren, Rong Cai, Jian Chen, Xiangru Wu, Jianxi Zhao

“…Conclusions Our findings suggest that the Ki67 index is an effective complementation in predicting the prognosis of GISTs, and CT features including size, contour, and margin of the tumor, presence of necrosis or cystic degeneration, and pattern of enhancement provide evidence to support the importance of preoperative assessment.…”
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Analyzing display photometric features through time-dependent dynamics of accommodative responses and ocular imaging quality by Jianqi Cai, Shanshan Zeng, Ya Guo, Wentao Hao

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Morphological features of histogenic differon cells in connective tissue of guinea pigs’ lungs after sensitization with ovalbumin by S. S. Popko, V. M. Yevtushenko

“…An urgent issue of modern morphology is establishing a number of patterns of morphological changes and reactivity of connective tissue components of lungs in case of experimental sensitization with allergens. …”
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Advancing sustainable agricultural: A novel framework for mapping annual 30-m resolution national-level irrigated croplands by Enyu Du, Fang Chen, Huicong Jia, Jinwei Dong, Lei Wang, Yu Chen

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Unsupervised learning of temporal features for word categorization in a spiking neural network model of the auditory brain. by Irina Higgins, Simon Stringer, Jan Schnupp

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PLM-ATG: Identification of Autophagy Proteins by Integrating Protein Language Model Embeddings with PSSM-Based Features by Yangying Wang, Chunhua Wang

“…Although current computational approaches have addressed experimental recognition’s costly and time-consuming challenges, they still have room for improvement since handcrafted features inadequately capture the intricate patterns and relationships hidden in sequences. …”
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miR-155 and miR-223 as markers of biological and clinical features of chronic lymphocytic leukemia by M. L. Perepechaeva, O. B. Goreva, O. V. Berezina, T. I. Pospelova, A. Yu. Grishanova

“…Our preliminary results will provide the basis for future larger studies on levels of microRNAs in CLL patients having specific features of the development, clinical course, and treatment of the disease.…”
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