Plantention: A general-purpose, lightweight and attention-based model for multi-crop leaf disease classification by Brindha Subburaj, Rohan M, Samhruth Ananthanarayanan, Daehan Won

“…Being a staple contributor to the Indian economy, these losses can cause large problems in other sectors as well. Most computerized methods involve some form of Deep Learning algorithms and models to automate the detection process. …”
Get full text

Positivity for antiribonucleoprotein antibodies in rheumatic diseases: focus on scleroderma systematica by R. U. Shayakhmetova, L. P. Ananyeva

“…The review deals with the problem of antibody production in scleroderma systematica (SDS), with a focus on antiribonucleoprotein (RNP) antibodies: frequency, structure, and clinical associations. …”
Get full text

Research on power data security full-link monitoring technology based on alternative evolutionary graph neural architecture search and multimodal data fusion by Zhenwan Zou, Bin Wang, Tao Chen, Jia Chen

“…To solve this problem, this paper proposes a hybrid method that combines multimodal data-aware attacks with Light Gradient Boosting Machine (LightGBM) and Support Vector Regression (SVR) agent models. …”
Get full text

An Evolutionary Toolchain for Morphological Filter Mapping on Many-Core Architectures by Emerson C. Pedrino, Denis P. Lima, Igor F. Gallon, Valentin O. Roda, Naijia Liu, Gianluca Tempesti

“…A set of standard benchmark applications was used to determine the optimal parameters for the algorithms, which were then validated on two real-world application examples involving the detection of features in high-resolution PCB images. …”
Get full text

Active Contours Connected Component Analysis Segmentation Method of Cancerous Lesions in Unsupervised Breast Histology Images by Vincent Majanga, Ernest Mnkandla, Zenghui Wang, Donatien Koulla Moulla

“…Nuclei segmentation remains a challenging problem due to cancer biology and the variability of tissue characteristics; thus, their detection in an image is a very tedious and time-consuming task. …”
Get full text

Optimization of energy acquisition system in smart grid based on artificial intelligence and digital twin technology by Zhen Jing, Qing Wang, Zhiru Chen, Tong Cao, Kun Zhang

“…The improved lightweight target detection model is combined to monitor the equipment status of the smart grid and extract key features. …”
Get full text

High-Quality Multispectral Image Reconstruction for the Spectral Camera Based on Ghost Imaging via Sparsity Constraints Using CoT-Unet by Tao Hu, Jianxia Chen, Shu Wang, Jianrong Wu, Ziyan Chen, Zhifu Tian, Ruipeng Ma, Di Wu

“…To solve the problem of poor quality in ghost imaging via sparsity constraints (GISC) multispectral image reconstruction with correlation operations and compressed sensing algorithms under low sampling rate detection conditions, we propose an end-to-end deep-learning-based method. …”
Get full text

Deep learning approach with ConvNeXt-SE-attn model for in vitro oral squamous cell carcinoma and chemotherapy analysis by Abhay Nath, Om Roy, Priyanka Silveri, Sanskruti Patel

“…The findings are critical to the increased feature-representation power and the robustness of classification of the architecture.The proposed architecture employs ConvNeXt backbone with SE blocks and hybrid attention to extract essential details within class boundaries which standard models usually miss.The activation through Gaussian-based GReLU incorporates Swish activation together with DropPath regularization for producing smooth gradient patterns which lead to generalizable features across imbalanced datasets.Grad-CAM enhances interpretability by showing which image sections lead to predictions in order to enable clinical decisions.The model demonstrates its capability as an effective detection method for minimal variations in oral cells which supports precise non-invasive treatment approaches for OSCC.…”
Get full text

Current Scales and Questionnaires for Assessing Stress Conditions and Their Application in Medicine: a Review by Anna A. Kuzyukova, Yana G. Pekhova, Olga I. Odarushenko, Natalia A. Levchenko, Larisa A. Marchenkova

“…Stressful conditions are characterized by a high prevalence, which contributes to the high incidence of patients with vegeto-somatic symptoms of stress in non-psychiatric medical institutions, where the detection of these disorders is difficult. The search and development of optimal diagnostic methods for stress-related psychosomatic disorders remains a very important and urgent problem. …”
Get full text

The first experience of creating a mobile application for diagnosis and correction of nutritional deficiency in cancer patients by E. V. Kayukova, T. A. Ignatenko, V. A. Mudrov, L. F. Sholokhov

“…Nutritional deficiency is a problem that occurs in 30 % to 80 % of cancer patients, but is often undiagnosed. …”
Get full text

Quantifying the Visuo-Perceptual Segregation Between Ortabayır and Levent District in Istanbul through Semantic Segmentation by Jood Kassab, Can Uzun

“…Urban segregation has always been a critical problem affecting citizens’ socio-cultural equality. …”
Get full text

Machine Learning Techniques for Kinship Verification: A Review by Olivia Oraha, Yusra Mohammad

“…Since the verifying of a kinship is the most challenging problem for many applications, where become beneficial in many fields such as investigation cases of missing people through war and natural disasters, biometric security and more. …”
Get full text

Transient Voltage Unit Protection Based on Fault Information Fusion by Zhenwei Guo, Ruiqiang Zhao, Haojie Li, Yongyan Jiang

“…Transient voltage high-frequency instantaneous amplitudes are obtained and integrated using the Variational Mode Decomposition Hilbert Transform (VMD-HT) to increase the stability of high-frequency fault signal detection. This algorithm solved the original problem of 42.2% cross-data, 41.6% false operations, and 8.9% refusal to operate. …”
Get full text

Forensic economic examination in the investigation of corruption crimes by L. A. Parfentii

“…The list of basic documents, thorough examination of which by a forensic expert is the basis for detecting corruption, has been systematized. The features of forensic economic examination in the investigation of specific corruption offenses defined by the current legislation of Ukraine have been investigated. …”
Get full text

Structural Parameter Identification Using Multi-Objective Modified Directional Bat Algorithm by LIU Li-jun, LIN Ying-hai, SU Yong-hui, LEI Ying

“…To simulate real-world conditions， noise was added to modal parameters. Dynamic features， such as natural frequencies and mode shapes， were used for damage detection. …”
Get full text

Real-Time Evaluation of Ground Insulation Degradation and Fault Warning Method Under Multiple Operating Conditions for Train Traction Drive System by Zhenglin Cheng, Kan Liu, Xueming Li, Shaolong Xu, Zhiwen Chen, Fengbing Jiang

“…Secondly, based on engineering application experience, a feature index set that can accurately classify different types of grounding faults is extracted. …”
Get full text

Improving the Performance of Heart Disease Diagnosis by Combining the Cochleogram Transformation and Variable Auto-Encoder (VAE) Network by Mahbubeh Bahrayni, Ramin Barati, Abbas Kamali

“…This abnormal sound detection system can be used very usefully in rural health centers and small hospitals to help doctors without expertise to diagnose heart problems.…”
Get full text

Integrated model for segmentation of glomeruli in kidney images by Gurjinder Kaur, Meenu Garg, Sheifali Gupta

“…Kidney diseases, especially those that affect the glomeruli, have become more common worldwide in recent years. Accurate and early detection of glomeruli is critical for accurately diagnosing kidney problems and determining the most effective treatment options. …”
Get full text

Multi-class fault diagnosis of BF based on global optimization LS-SVM by ZHANG Hai-gang, ZHANG Sen, YIN Yi-xin

“…Aiming at the requirement of high speed and precision in blast furnace fault diagnosis systems, a new strategy based on global optimization least-squares support vector machines (LS-SVM) was proposed to solve this problem. Firstly, the variable metric discrete particle swarm optimization algorithm was employed to optimize the feature selection and LS-SVM parameters. …”
Get full text

Parameter Identification and Transition Process Online Calibration Method of Pulsed Eddy Current Receiving Coil Based on Underdamped Dynamic Response Characteristics by Zhiwu Zeng, Jie Wang, Xiaoju Huang, Yun Zuo, Yuan Liu, Xu Tian, Feng Pei, Kui Liu, Fu Chen, Xiaotian Wang, Jingang Wang

“…In order to solve the problem that the system parameters will be offset during the detection process of the pulsed eddy current receiving coil, this paper first analyzes the response signal of the receiving system and the deconvolution process of the response signal, and discusses the influence of various system parameters on the deconvolution accuracy. …”
Get full text