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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Drunk Driver Detection Using Thermal Facial Images by Chin-Heng Chai, Siti Fatimah Abdul Razak, Sumendra Yogarayan, Ramesh Shanmugam

“…This study aims to investigate and propose a machine learning approach that can accurately detect alcohol consumption by analyzing the thermal patterns of facial features. Thermal images from the Tufts Face Database and self-collected images were utilized to train the models in identifying temperature variations in specific facial regions. …”
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Tumor Budding, Micropapillary Pattern, and Polyploidy Giant Cancer Cells in Colorectal Cancer: Current Status and Future Prospects by Shiwu Zhang, Dan Zhang, Zhengduo Yang, Xipeng Zhang

“…There are similar morphologic features and molecular phenotypes among tumor budding, micropapillary carcinoma pattern, and PGCCs with their budding daughter cells and all of them show strong ability of tumor invasion and migration. …”
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Тhe main patterns of forming the microelement composition of soils under mountain-meadow vegetation in the Western Caucasus by T. V. Degtyareva, A. A. Likhovid

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Investigation of Personalized Visual Stimuli via Checkerboard Patterns Using Flickering Circles for SSVEP-Based BCI System by Nannaphat Siribunyaphat, Natjamee Tohkhwan, Yunyong Punsawad

“…In this study, we conducted two steady-state visual evoked potential (SSVEP) studies to develop a practical brain–computer interface (BCI) system for communication and control applications. …”
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A Grey Wolf Optimisation-Based Framework for Emotion Recognition on Electroencephalogram Data by Ram Avtar Jaswal, Sunil Dhingra

“…Human emotions trigger reflective transformations within the brain, leading to unique patterns of neural activity and behaviour. This study connects the power of electroencephalogram (EEG) data to investigate the intricate impacts of emotions, considering their reflective significance in our daily lives, in depth. …”
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An Investigation of Textbook Purchase and Usage Patterns among Undergraduate Students at Kwame Nkrumah University of Science and Technology, Ghana by Michael Ato Essuman, Twene Ampofo, Harry Barton Essel, Francis Nimo Nunoo, Reuben Agbelengor Glover

“…This study investigates textbook purchase and usage patterns among students at Kwame Nkrumah University of Science and Technology. …”
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Cross-coupling of hydrogeochemical evolution and groundwater flow systems distribution pattern in an arid inland plain in northwestern China by Hu Su, Yinger Deng, Liqiang Ma, Pengjie Li, Hongkun Yang, Lin Chen

“…The hydrodynamic characteristics and hydrochemical distributions corroborated the existence of a multi-hierarchy nested GFS pattern in the Aksu River Basin.…”
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DNA methylation patterns in breast cancer, paired benign tissue from ipsilateral and contralateral breast, and healthy controls by Saya R. Dennis, Takahiro Tsukioki, Gannon Cottone, Wanding Zhou, Patricia A. Ganz, Mary E. Sehl, Yuan Luo, Seema A. Khan, Susan Clare

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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

“…This suggested that vegf121 has different regulatory functions in the development of blood vessels in different tissues of C. carpio rubrofuscus. …”
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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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Preoperative CT-based radiomics nomogram to predict the micropapillary pattern in lung adenocarcinoma of size 2 cm or less by Xiaoyu Pan, Liang Fu, Jiecai Lv, Lijuan Feng, Kai Li, Siqi Chen, Xi Deng, Liling Long

“…PurposeTo develop and validate a radiomics nomogram model for predicting the micropapillary pattern (MPP) in lung adenocarcinoma (LUAD) tumors of ≤2 cm in size.MethodsIn this study, 300 LUAD patients from our institution were randomly divided into the training cohort (n = 210) and an internal validation cohort (n = 90) at a ratio of 7:3, besides, we selected 65 patients from another hospital as the external validation cohort. …”
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Fusion of deep neural networks and infrared wave analysis for climate pattern prediction and shifting sand hazard Assessment by Huayu Lu, Marzieh Mokarram

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Brain Tumour Detection Using VGG-Based Feature Extraction With Modified DarkNet-53 Model by S. Trisheela, Roshan Fernandes, Anisha P. Rodrigues, S. Supreeth, B. J. Ambika, Piyush Kumar Pareek, Rakesh Kumar Godi, G. Shruthi

“…The objective of AI research and development is to create intelligent systems capable of performing tasks and reasoning like humans. …”
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Composition, formation conditions, distribution patterns and zoning of gold mineralization in the Stadukhinsky ore-placer region (Western Chukotka) by Nikolaev Yu. N., Balykova I. V., Kuzin S. V., Baksheev I. A., Apletalin A. V., Prokofiev V. Yu., Vlasov E. A., Kalko I. A., Kosyatov V. V.

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Research on variable-length control chart pattern recognition based on sliding window method and SECNN-BiLSTM by Tao Zan, Xiaolong Jia, Xiaoyu Guo, Min Wang, Xiangsheng Gao, Peng Gao

“…A cloud-edge integrated recognition system was developed using wireless digital calipers, embedded devices, and cloud computing. …”
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Pattern recognition in SARS cases: insights from t-SNE and k-means clustering applied to COVID-19 symptomatology by Julliana Gonçalves Marques, Bruno Motta de Carvalho, Luiz Affonso Guedes, Márjory Da Costa-Abreu

“…This overlap makes it difficult to identify distinct and meaningful symptom patterns as they develop. This study proposes a dimensionality reduction approach combined with a clustering technique to visually analyse structural similarities among SARS-infected individuals, aiming to determine whether aspects such as case progression and diagnosis impact these patterns.MethodsThis analysis utilised the t-Distributed Stochastic Neighbour Embedding (t-SNE) algorithm for dimensionality reduction, combined with Gower's distance to handle categorical data, and k-means clustering. …”
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Array inspired wideband and high gain antenna with enhanced pattern diversity for 5G mm wave networks by Nawaf A. Alqwaifly, Wahaj Abbas Awan, Nabeel Alsaab, Fahad Nasser Alsunaydih, Khaled Alhassoon

“…Initially, a single antenna element is developed by loading two semi-circular stubs onto a basic rectangular patch to enhance the impedance bandwidth. …”
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