SYSTEM AND ALGORITHM OF INTELLIGENT BIOMEDICAL SIGNAL PROCESSING AND ANALYSIS FOR HUMAN HEALTH STATUS REMOTE MONITORING SYSTEM by Nguyen Trong Tuyen, Tran Trong Huu, Nguyen Mau Thach, Zafar M. Yuldashev

“…To detect the exacerbation first symptoms by means of the patient's wearable computer, additional channels are activated for recording biomedical signals used to evaluate the expanded complex of diagnostically significant parameters of the disease and their integration when specifying the patient's condition. …”
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A Novel Lightweight U-Shaped Network for Crack Detection at Pixel Level by Zhong Luo, Xinle Li, Yanfeng Zheng

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Stress Concentration Modelling in Internal Stiffeners of Ship-to-Shore Quay Cranes Legs Due to Structural Heightening by José Roberto Castillo Rivera, María Inmaculada Rodríguez-García, María Gema Carrasco-García, Ignacio J. Turias

“…This paper presents a study on the modelling and estimation of stress concentration at the tips of leg stiffeners in ship-to-shore (STS) quay cranes, which is intensified in those on the sea-side leg extensions, which are more prone to crack formation, notably following structural heightening of the cranes. A computer-simulated database was generated, incorporating mechanical parameters and geometric features that impact stress concentration. …”
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Automated Generation of Hybrid Metaheuristics Using Learning-to-Rank by Xinru Xue, Ting Shu, Jinsong Xia

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Numerical Analysis of Breast Cancer Cell with Gold Nanoparticles Necrosis by Laser Hyperthermia by Shna A. Karim, Yousif M. Hassan

“…We would like here to stress that our attempt was a theoretical and computer model with some real and hypothesized parameters and homogeneous target. …”
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CRGAN: A Context-Aware Clothing Design and Recommendation System for Young Sri Lankan Females Using Generative Adversarial Networks by Nethmi Pathirana, Azma Imtiaz, Shakir Saheel, Kasun Karunanayaka, Adrian David Cheok

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An enhanced moth flame optimization extreme learning machines hybrid model for predicting CO2 emissions by Ahmed Ramdan Almaqtouf Algwil, Wagdi M. S. Khalifa

“…Feature importance analysis highlighted economic growth, foreign direct investment, and renewable energy as key predictors. …”
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Through-Wall Detection with LS-SVM under Unknown Wall Characteristics by Fangfang Wang, Yerong Zhang, Huamei Zhang

“…The complex scattering process due to the presence of the walls is automatically included in the nonlinear relationship between the feature vector extracted from the target scattered fields and the position of the target. …”
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Expression Recognition Algorithm of Deeply Separable Residual Network under Joint Loss by LI Jingyu, CHENG Weiyue, LIN Kezheng, MIAO Zhuang, LI Ao

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Acoustic And Articulatory Analysis Of The Gemination In Modern Standard Arabic by Kamel Ferrat, Mhania GUERTI

“… In this paper, we report the results of an experimental study of the acoustic and articulatory properties of the geminate consonants in Modern Standard Arabic (MSA). To extract the feature characteristics, we have carried out an acoustic analysis by computing the values of frequency formants, energy and durations of the consonants and subsequent vowels in the various [VCV] and [VCgV] utterances (Cg: geminate consonant). …”
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K-means clustering of a soil sampling scheme with data on the morphography of the Ogosta valley northwestern Bulgaria by Assen TCHORBADJIEFF, Tsvetan KOTSEV, Velimira STOYANOVA, Emilia TCHERKEZOVA

“… The spatial distribution of 665 soil sampling sites in the arsenic contaminated floodplain of the Ogosta River in the Northwest of Bulgaria is analysed against geomorphological parameters computed from a precise digital terrain model. …”
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Soret Effect and Chemical Process on MHD Oscillatory Flow in a Physiological Fluid by R. Kavitha, Nyagong Santino David Ladu, S. Ravi

“…To highlight the key features, the numerical computations of the physical parameters, Grashof number, Reynolds number, Magnetic number, and Soret number were presented graphically. …”
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Machine Learning-Based Prediction of Unconfined Compressive Strength of Sands Treated by Microbially-Induced Calcite Precipitation (MICP): A Gradient Boosting Approach and Correlat... by Saeed Talamkhani

“…Moreover, a series of correlation and feature importance analyses are carried out over the dataset. …”
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A Quadrotor UAV System for Forest Fire Monitoring by HUANG Jing, AO Zihang, ZHANG Youmin, MU Lingxia, ZHENG Kai

“…The sensing information from the above three sensors is fused by the onboard Raspberry Pi computer. A target detecting algorithm based on the dynamic and static characteristic frequency, smoke feature is proposed, and a contrast test is conducted. …”
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Design and Optimization of an Al Doped ZnO in Si-Slot for Gas Sensing by Ritapa Bhattacharjee, N. T. Kejalakshmy, B. M. Azizur Rahman

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Frequency-Based Density Estimation and Identification of Partial Discharges Signal in High-Voltage Generators via Gaussian Mixture Models by Krissana Romphuchaiyapruek, Sarawut Wattanawongpitak

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A Multi-Source Circular Geodesic Voting Model for Image Segmentation by Shuwang Zhou, Minglei Shu, Chong Di

“…Image segmentation is a crucial task in artificial intelligence fields such as computer vision and medical imaging. While convolutional neural networks (CNNs) have achieved notable success by learning representative features from large datasets, they often lack geometric priors and global object information, limiting their accuracy in complex scenarios. …”
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Vortex generators in heat sinks: Design, optimisation, applications and future trends by Mohammad Ismail, Abdullah Masoud Ali, Sol-Carolina Costa Pereira

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Application of data twinning based on deep time series model in smart city traffic flow prediction by Li Gao

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Application of WCA-RBF Neural Network in Fault Diagnosis of Analog Circuits by Zhiwei Jin

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