Adaptive malware identification via integrated SimCLR and GRU networks by Faisal S. Alsubaei, Abdulwahab Ali Almazroi, Walid Said Atwa, Abdulaleem Ali Almazroi, Nasir Ayub, N. Z. Jhanjhi

“…To this end, we introduce SimCLR-GRU, a novel ensemble architecture that integrates SimCLR-based contrastive learning for feature extraction and a GRU module to capture sequential behavioural patterns. …”
Get full text

Prediction of microbe-drug associations using a CNN-Bernoulli random forest model by Zihao Song, Qingnuo Li, Jincheng Zhao, Qinggang Bu, Zekang Bian, Jia Qu

“…This approach enhances computational efficiency and improves the model’s ability to capture complex patterns, thereby increasing the precision and interpretability of drug response predictions. …”
Get full text

Differential gray matter correlates and machine learning prediction of abuse and internalizing psychopathology in adolescent females by Sara A. Heyn, Taylor J. Keding, Josh Cisler, Katie McLaughlin, Ryan J. Herringa

“…Abstract Childhood abuse represents one of the most potent risk factors for the development of psychopathology during childhood, accounting for 30–60% of the risk for onset. …”
Get full text

Enhancing advanced cervical cell categorization with cluster-based intelligent systems by a novel integrated CNN approach with skip mechanisms and GAN-based augmentation by Gunjan Shandilya, Sheifali Gupta, Ahmad Almogren, Salil Bharany, Ayman Altameem, Ateeq Ur Rehman, Seada Hussen

“…By boosting feature propagation, this integration increases the model’s ability to recognize minute patterns in cervical cell images, hence increasing classification accuracy. …”
Get full text

Toward Cyborg: Exploring Long-Term Clinical Outcomes of a Multi-Degree-of-Freedom Myoelectric Prosthetic Hand by Yuki Kuroda, Yusuke Yamanoi, Hai Jiang, Yoshiko Yabuki, Yuki Inoue, Dianchun Bai, Yinlai Jiang, Jinying Zhu, Hiroshi Yokoi

“…Recent advancements in robotics and sensor technology have facilitated the development of myoelectric prosthetic hands (MPHs) featuring multiple degrees of freedom and heightened functionality, but their practical application has been limited. …”
Get full text

The Spatial Relationship Characteristics and Differentiation Causes Between Traditional Villages and Intangible Cultural Heritage in China by Xinyan Qian, Yi Yu, Runjiao Liu

“…This study establishes a three-phase framework (“spatial pattern identification–spatial relationship analysis–impact mechanism assessment”) using nationwide data encompassing 8155 TVs and 3587 ICH elements. …”
Get full text

Spatial Correlation Network Characteristics of Comprehensive Transportation Green Efficiency in China by Qifei Ma, Sujuan Li, Zhenchao Zhang

“…Accurately characterizing the structural features of the spatial correlation network of comprehensive transportation green efficiency (CTGE) is essential for achieving balanced regional transportation development and eliminating regional disparities. …”
Get full text

FUNCTIONAL ASSESSMENT OF MASTICATORY MUSCLES IN ADAPTATION TO COMPLETE REMOVABLE PROSTHESES by S. A. Shemetov, I. M. Martynenko, R.V. Petrenko, N.A. Ryabushko

“…No complaints on the pain while chewing even enough solid food, good fixation and stabilization of prostheses, phonetics recovery suggest the establishment of a new functional level of dental system, the development of a consistent pattern of chewing. Objective electromyographic evaluation of the quality of prosthetics has confirmed the validity of subjective tests. …”
Get full text

Handwritten Geez Digit Recognition Using Deep Learning by Mukerem Ali Nur, Mesfin Abebe, Rajesh Sharma Rajendran

“…Convolutional neural network (CNN) is preferable for pattern recognition like in handwritten document recognition by extracting a feature from different styles of writing. …”
Get full text

INTERBLOCK ZONES IN THE CRUST OF THE SOUTHERN REGIONS OF EAST SIBERIA: TECTONOPHYSICAL INTERPRETATION OF GEOLOGICAL AND GEOPHYSICAL DATA by K. Zh. Seminsky, N. O. Kozhevnikov, A. V. Cheremnykh, E. V. Pospeeva, A. A. Bobrov, V. V. Olenchenko, M. A. Tugarina, V. V. Potapov, R. M. Zaripov, A.S. Cheremnykh

“…Integrated interpretation of the data is challenging: when applied separately, the methods and techniques reveal various specific features of interblock zone that differ in the degree of heterogeneity of the internal patterns depending on conditions of their formation and development. …”
Get full text

Geometric properties of quantum entanglement and machine learning by S. V. Zuev

“…Fast data analysis based on hidden patterns is one of the main issues for adaptive artificial intelligence systems development. …”
Get full text

Multi-tissue transcriptomic characterization of endogenous retrovirus-derived transcripts in Capra hircus by Ming-Di Li, Ming-Di Li, Hu-Rong Li, Shao-Hui Ye

“…However, the expression pattern of TEs in those less studied species, like goat (Capra hircus), remains unclear. …”
Get full text

The impact of land use transition on ecosystem service value in Lixiahe area: Multi-scenario simulation based on Markov-FLUS model by CHEN Xinwei, LI Hongbo, ZHANG Wenbo, GE Xiaoping

“…The main form of land use type transformation was from cultivated land to wetland or construction land, and the active transformation areas were concentrated in the central and eastern and western boundary areas. (2) The ecosystem service value of the study area in 1990, 2005 and 2020 showed a year-on-year increasing trend, and the spatial pattern was relatively stable. Overall, it presented a distribution feature of “low on the periphery and high in the center”. (3) The Markov-FLUS model has strong applicability in the region. …”
Get full text

TBM shield mud cake prediction model based on machine learning by Qi Zhang, Peng Xu, Jing Zhang, Zhao Yang, Yu Li, Xintong Kong, Xiao Yuan

Get full text

Machine learning framework for investigating nano- and micro-scale particle diffusion in colonic mucus by Marco Tjakra, Kristína Lidayová, Christophe Avenel, Christel A.S. Bergström, Shakhawath Hossain

“…This study presents a machine-learning-driven framework that integrates microrheological features into diffusional fingerprinting to characterize nano- and micro-scale particle diffusion patterns in mucus and assess the effect of mucus microrheology on such movements. …”
Get full text

An enhanced integrated fuzzy logic-based deep learning techniques (EIFL-DL) for the recommendation system on industrial applications by Yasir Rafique, Jue Wu, Abdul Wahab Muzaffar, Bilal Rafique

“…Deep learning techniques, on the other hand, excel at extracting complex patterns and features from large-scale data. By integrating fuzzy logic with deep learning, the EIFL-DL framework harnesses the strengths of both approaches to overcome the limitations of traditional RSs. …”
Get full text

CGV-Net: Tunnel Lining Crack Segmentation Method Based on Graph Convolution Guided Transformer by Kai Liu, Tao Ren, Zhangli Lan, Yang Yang, Rong Liu, Yuantong Xu

“…By fostering information exchange among local features, the model enhances comprehension of the global structural patterns of cracks and improves inference capabilities in recognizing intricate crack configurations. …”
Get full text

A bikeshare station area typology to forecast the station-level ridership of system expansion by Steven R. Gehrke, Timothy F. Welch

“…This study of the Washington, DC, metro region’s Capital Bikeshare (CaBi) program answers this call by performing a latent class cluster analysis to identify five bikeshare station area types based on variation in a set of land development pattern, urban design, and transportation infrastructure features. …”
Get full text

Brain Effective Connectivity Analysis Facilitates the Treatment Outcome Expectation of Sound Therapy in Patients With Tinnitus by Han Lv, Jinduo Liu, Qian Chen, Zuozhen Zhang, Zhaodi Wang, Shusheng Gong, Junzhong Ji, Zhenchang Wang

“…This provided critical insights into the gain theory of tinnitus development. The altered pattern of functional information orchestration, represented by a higher degree of hypervigilance-driven attention and enhanced multisensory integration, may explain poor clinical outcomes. …”
Get full text

Research on Methods for the Recognition of Ship Lights and the Autonomous Determination of the Types of Approaching Vessels by Xiangyu Gao, Yuelin Zhao

“…Secondly, 23 spatio-semantic feature indicators are established to encode ship light patterns, and a multi-viewing angle dataset is constructed. …”
Get full text