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Intelligent system for human activity recognition in IoT environment
In recent years, the adoption of machine learning has grown steadily in different fields affecting the day-to-day decisions of individuals. This...
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Fingerprint Recognition Revolutionized: Harnessing the Power of Deep Convolutional Neural Networks
Traditional fingerprint recognition systems struggle to manage large datasets and detect certain fingerprint traits. These systems often require...
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Research on Text Classification Modeling Strategy Based on Pre-trained Language Model
Fine-tuning the pre-trained language model is the current mainstream method of text classification. Take the fine-tuning BERT model as an example,...
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Face-Anti-spoofing Based on Liveness Detection
Many applications, like crossing points, banking, and mobile banking, are now using Face Recognition (FR) systems. The widespread usage of FR systems...
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Prediction of Brain Diseases Using Machine Learning Models: A Survey
According to the American Cancer Society, cancers related to the brain and nervous system are ranked as the tenth leading cause of mortality in...
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Identification of Severity Level for Diabetic Retinopathy Detection Using Neural Networks
The diabetic retinopathy is a vital factor of vision loss among individuals with diabetes. Early detection of this condition has significant...
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Two-stage deep learning model for automate detection and classification of lung diseases
Around the world, lung disease is a prevalent cause of death and illness. In this article, we propose a lung disease detection system for the...
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BD-Transformer: A Transformer-Based Approach for Bipolar Disorder Classification Using Audio
Bipolar disorder, named also manic depression, is a mental disorder perceived by extreme mood swings that include abnormally emotional lows...
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Convolutional neural network for leak location in buried pipes of underground water supply
Water leakage in underground distribution networks is one of the greatest challenges faced by supply companies around the world. Moreover, current...
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Deep convolutional spiking neural network fostered automatic detection and classification of breast cancer from mammography images
PurposeBreast cancer (BC) is a leading cause of death among women. Several existing methods on breast cancer classification were suggested with...
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Diabetic Retinopathy Detection Using Deep CNN Architecture and Medical Prescription
One of the complications that occurs to the diabetic patients is diabetic retinopathy. Retinopathy is the abnormal condition of retina which results...
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Detection of Object-Based Forgery in Surveillance Videos Utilizing Motion Residual and Deep Learning
In recent years, video surveillance plays an important role in security applications as well as legal sectors. For example, CCTV footage can be...
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Quaternary classification of emotions based on electroencephalogram signals using hybrid deep learning model
Recognizing emotions from electroencephalography (EEG) signals is a trustworthy and reliable method to monitor the mental health of patients and the...
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Facial Image Manipulation Detection Using Cellular Automata and Transfer Learning
In digital media forensics, detecting manipulated facial images is a crucial topic. With the advancement of synthetic face generation technologies,...
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A Comprehensive Analysis of Deep Learning-Based Approaches for the Prediction of Gastrointestinal Diseases Using Multi-class Endoscopy Images
The human gastrointestinal (GI) system can be affected by various illnesses which results in the death of about two million patients globally....
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AANet: adaptive attention network for rolling bearing fault diagnosis under varying loads
Recently, modern intelligent fault diagnosis algorithms based on deep learning have been widely used to recognize the health state of rolling...
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Artificial Intelligence in Formulation and Product Design of BCS Class I and II Drugs
The pharmaceutical product development process is a challenging process involving two significant steps, namely formulation development and product...
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IGBT Open-Circuit Fault Diagnosis for MMC Based on OCDWPT
Considering the issue of high sensor demand and susceptibility to load changes in existing IGBT fault diagnosis for MMC sub-module (SM), a fault...
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Determination of Vehicle Type by Image Classification Methods for a Sample Traffic Intersection in Isparta Province
Today, technologies related to artificial intelligence are used in almost every area of life. Scientists are working to maximize the predictive...
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A Novel Dataframe Creation and 1D CNN Model for Subject-Independent Emotion Classification from Raw EEG
Electroencephalograms (EEG) are different than other signals like speech, posture, and facial expressions and are widely used to recognize emotions....