MAFONN-EP: A Minimal Angular Feature Oriented Neural Network based Emotion Prediction system in image processing by L.B. Krithika, G.G. Lakshmi Priya

“…To overcome these issues, this paper develops the new facial emotion recognition technique named as Minimal Angular Feature Oriented Neural Network based Emotion Prediction (MAFONN-EP). …”
Get full text

Enhanced air quality prediction using adaptive residual Bi-LSTM with pyramid dilation and optimal weighted feature selection by R. Sudha, Ajith Damodaran, Gunaselvi Manohar

“…After extracting the weighted features, classification is carried out using an Adaptive Residual Bi-LSTM network combined with Pyramid Dilation (ARBi-LSTM-PD), which significantly increase the model’s potential to identify complex patterns within the data. …”
Get full text

Study of component features of essential oils of <i>Rosmarinus officinalis</i> and <i>Salvia sclarea</i> of Crimean origin by R. E. Ermachenkov, A. L. Markov, M. M. Agaev, E. V. Burtseva, I. I. Terninko

Get full text

Digital Finance in the Context of Developing a Digital Human by Kornіvska Valerіia O.

“…The article describes the impact of digital financial technologies on personality through their close integration into everyday life and the accelerated spread of financially-oriented behavior patterns, which stimulate the development of new format values, particularly the value of processual consumption. …”
Get full text

Intellectual ability and cortical homotopy development in children and adolescents by Li-Zhen Chen, Xi-Nian Zuo

“…Using longitudinal data and a novel metric of functional homotopy, Homotopic Functional Affinity (HFA), we investigated the developmental patterns of functional homotopy and its relationship with intelligence. …”
Get full text

Survival feature and trend of female breast cancer: A comprehensive review of survival analysis from cancer registration data by Dan-Dan Tang, Zhuo-Jun Ye, Wan-Wan Liu, Jing Wu, Jing-Yu Tan, Yan Zhang, Qun Xu, Yong-Bing Xiang

Get full text

Regional Experience in Supporting the Development of Agricultural Consumer Cooperation by Natalya M. Suray, Marina G. Mirgorodskaya, Aleksey N. Kuraev, Petr S. Burlankov, Yulia V. Melnikova

“…The paper introduces various patterns of formation and development of agricultural cooperation at the regional level. …”
Get full text

Histology image analysis of 13 healthy tissues reveals molecular-histological correlations by Yi Gao, Jianwen Liang, Mu Tian, Wenjiang Deng, Lei Wang, Siyuan Tao, Tian Mou

“…Furthermore, research on the association between imaging features and gene expression patterns in multiple tissues is still lacking. …”
Get full text

Effect of Solid-state Fermentation by Yeast on the Structural and Functional Properties of Wheat Bran Proteins by Tingting SHI, Yujie LU, Jiawei PEI, Runfang GUO

Get full text

Application of Machine Learning Techniques for Bearing Fault Diagnosis by Sarra Eddai, Nabih Feki, Ahmed Ghorbel, Abdelkhalak El Hami, Mohamed Haddar

“…The methodology employed encompasses a systematic approach, including data preprocessing, feature extraction, and model development. This research employs advanced machine learning techniques, including Support Vector Machine (SVM), K-Nearest Neighbors (KNN), Decision Tree, and Naive Bayes algorithms, in conjunction with time-domain and frequency-domain feature extraction methods. …”
Get full text

Circadian Regulator-Mediated Molecular Subtypes Depict the Features of Tumor Microenvironment and Indicate Prognosis in Head and Neck Squamous Cell Carcinoma by Ling Aye, Zhanying Wang, Fanghua Chen, Yujun Xiong, Jiaying Zhou, Feizhen Wu, Li Hu, Dehui Wang

“…Moreover, HNSCC tissues displayed three circadian regulator patterns with distinct clinical outcomes, transcriptomic characteristics, and microenvironment features. …”
Get full text

UGS-M3F: unified gated swin transformer with multi-feature fully fusion for retinal blood vessel segmentation by Ibtissam Bakkouri, Siham Bakkouri

“…However, accurately segmenting blood vessels in fundus images is challenging due to factors such as significant variability in vessel scale and appearance, occlusions, complex backgrounds, variations in image quality, and the intricate branching patterns of retinal vessels. To overcome these challenges, the Unified Gated Swin Transformer with Multi-Feature Full Fusion (UGS-M3F) model has been developed as a powerful deep learning framework tailored for retinal vessel segmentation. …”
Get full text

Clinical features of anti-SAE1 antibody-positive myositis and interstitial lung disease: a multicenter, retrospective study in Taiwan by Chao-Yang Hsiao, Chao-Yang Hsiao, Shu-Chi Tseng, Chung-Yuan Hsu, Li-Chung Chiu, Li-Jen Su, Tien-Ming Chan

Get full text

Advanced Deep Learning Framework for Predicting the Remaining Useful Life of Nissan Leaf Generation 01 Lithium-Ion Battery Modules by Shamaltha M. Wickramaarachchi, S. A. Dewmini Suraweera, D. M. Pasindu Akalanka, V. Logeeshan, Chathura Wanigasekara

“…The focus of this work is on feature engineering and uncovering hidden patterns in the data. …”
Get full text

Ecologically Safe Directions of the Low Rank Coal Bioconversion by Chernysh Y., Plyatsuk L., Ablieieva I., Yakhnenko E., Roubik H., Miakaieva H., Bataltsev E., Danilov D.

“…Electronic databases such as KEGG, BacDive, and EAWAG-BBD were used to identify the necessary ecological and trophic groups of microorganisms and to realize the patterns of trophic interactions in associations of different groups of microorganisms both under anaerobic and aerobic conditions. …”
Get full text

EXPERIENCE IN PRESERVING THE GENETIC DIVERSITY OF STONE FRUITS USING THE BORDER HEDGING TECHNOLOGY by G. V. Eremin, T. A. Gasanova, V. G. Eremin, I. S. Chepinoga

“…Years of experience in using a denser planting pattern for collection garden maintenance helped to identify a number of most significant factors in this system, which make up the scientific basis of the technology for optimally efficient preservation of genotypes and their genetic compliance (representativeness). …”
Get full text

Multi-channel spatio-temporal graph attention contrastive network for brain disease diagnosis by Chaojun Li, Kai Ma, Shengrong Li, Xiangshui Meng, Ran Wang, Daoqiang Zhang, Qi Zhu

“…Specifically, we first construct dynamic brain functional networks from fMRI data with sliding windows, and embed the structural connectivity derived from diffusion tensor imaging (DTI) to the dynamic functional connectivity graph representation to construct multi-modal brain network. Second, we develop a multi-channel spatial attention contrastive network to extract topological features from the brain network within each time window. …”
Get full text

Evaluating the Effect of Environmental-Physical Factors on the Livability and Quality of Urban Streets (Case Study: Nader and Enghelab Streets in Sari City) by Armin Akhavan, Esmail Salehi, Shirin Toghyani

“…Besides, preserving and improvement of historical attractions and identification of the old fabric of Sari city as the center of the social life , utilization of valuable historical buildings and environments, maintaining and developing public services, open and green urban spaces, allocation of valuable urban environments(pathways and historical open spaces), allocation of pathways in the textures passing through the main historical passages and YAHYA holy shrine area and traditional market, in modern pattern combined with the existing structure of the city will play a significant role in enhancing the vitality and quality of the studied streets. …”
Get full text

Conformal Prediction for Uncertainty Quantification and Reliable HER2 Status Classification in Breast Cancer IHC Images by Surayuth Pintawong, Shanop Shuangshoti, Tikamporn Jitpasutham, Somruethai Shuangshoti, Kulachet Wiwatwarayos, Thananop Kobchaisawat, Thanarat H. Chalidabhongse

“…Using dual in situ hybridization (DISH) results as the gold standard for HER2 status, we developed our system using handcrafted features&#x2014;including color intensity, local binary patterns, and Haralick features&#x2014;combined with tree-based classifiers. …”
Get full text

Correlations between morphological features of intracoronary thrombi and left ventricular structure and function in patients with ST-segment elevation myocardial infarction by D. D. Zerbino, D. I. Besh, M. Yu. Sokolov, O. M. Besh

“…The presence of peripheral infiltration of intracoronary thrombi with neutrophil leukocytes was associated with better left ventricular systolic function and less likely hood of development of left ventricular aneurysm or electrocardiographic QS pattern. …”
Get full text