This paper presents a comprehensive review of Artificial intelligence (AI), machine Learning (ML), and Deep Learning (DL) technologies, focusing on their impact in driving AI automation across diverse sectors with a s...
详细信息
The proceedings contain 60 papers. The special focus in this conference is on Artificial-Business Analytics, Quantum and machine Learning: Trends, Perspectives, and Prospects. The topics include: Particle Swarm Optimi...
ISBN:
(纸本)9789819725076
The proceedings contain 60 papers. The special focus in this conference is on Artificial-Business Analytics, Quantum and machine Learning: Trends, Perspectives, and Prospects. The topics include: Particle Swarm Optimization for Efficient Data Dissemination in VANETs;a Reactive Approach for High-Accuracy and Data-Driven Customer Behaviour Analysis and Prediction;a Brief Survey on Fabric Defect Detection;CNN Based Real Time Detection of Words from Lip Movements and Automated into Text;application of Artificial intelligence for the Diagnosis of Dementia (Alzheimer): A Systematic Evaluation;shortest Job First with Gateway-Based Resource Management Strategy for Fog Enabled Cloud Computing;software Vulnerability Analysis Based on Statistical Characteristics;hate Speech Detection on Twitter: A Comparative Evaluation of Different machine Learning Techniques;detection of Heart Disease Using machine Learning;SVM-Based Framework for Breast Cancer Detection;hand Gesture recognition System Using machine Learning;deep Learning Method for Plant Disease recognition and Prediction;Lung Cancer Detection by Using CNN Architecture Models;deep Fake Analyser: A Review Based on Detecting the Deepfakes;predicting the Outcomes of La Liga Matches;Artifact Detection and Removal in EEG: A Review of Methods and Contemporary Usage;analyzing the Employee Attrition Rate: A Comparative Study of Various machine Learning Approaches to Foresee Employee Attrition;satellite Image Classification Using Deep Learning for Big Earth Data;tackling Misinformation Through Tweets: A Comparative Study of Various machine Learning Approaches;feature-Based Anomaly Detection in Static Social Networks;framework for Optimising Supply Chain Analysis Using machine Learning;evaluation of Load Forecasting in Intelligent Grid Systems Through machine Learning Techniques.
Recommender systems are unsupervised machine learning algorithms that recommend goods, content, or services to people online based on their past actions and anticipated future preferences. With the help of advancing A...
详细信息
This paper explores the integration of Artificial intelligence (AI) technologies in the field of microelectronics testing and troubleshooting. Traditional methods for testing and troubleshooting microelectronic device...
详细信息
The main technique for binary classification in this suggested spam review detection system, which is tailored for the English language, is the Twin Support Vector machine (TSVM). By simultaneously taking into account...
详细信息
With the continuous progress of subject knowledge such as Internet and computer technology, as well as the update and improvement of educational models and methods, people39;s cognition of the concept of artificial ...
详细信息
Parkinson39;s disease (PD) and Multiple System Atrophy (MSA) are both classic neurodegenerative diseases. However, the significant overlap of PD and MSA in clinical symptoms poses a substantial challenge for their d...
详细信息
ISBN:
(纸本)9798400709777
Parkinson's disease (PD) and Multiple System Atrophy (MSA) are both classic neurodegenerative diseases. However, the significant overlap of PD and MSA in clinical symptoms poses a substantial challenge for their diagnosis. To solve this problem, five deep learning-based 3D models are designed to classify PD and MSA using brain Magnetic Resonance Imaging (MRI) of patients. We conduct a comprehensive comparison and evaluation of these models with traditional clinical approaches. The network architecture with the best performance, i.e., ResNet34, is finally determined, which achieves an impressive accuracy of up to 91% and a sensitivity of 99%. In the experiment, we find that the performance of all five DNN methods is superior to that of both traditional clinical analysis methods in the experiment. Our study introduces an innovative method for computer-assisted diagnosis in the early detection of neurological diseases, which has important clinical significance.
This study proposes an English pronunciation transformation text model based on a neural network patternrecognition algorithm, which aims to address various challenges in speech processing through in-depth analysis a...
详细信息
The projection process of the LiDAR 3D Point Cloud data is one of the crucial steps in Computer vision applications. It involves several steps to achieve the finalized accurate results. Many current studies leverage t...
详细信息
ISBN:
(纸本)9798350372977;9798350372984
The projection process of the LiDAR 3D Point Cloud data is one of the crucial steps in Computer vision applications. It involves several steps to achieve the finalized accurate results. Many current studies leverage the benefits of using a GPU in the computing capability. This paper presents a comparative study of the implementation and testing of this process on single-core, multi-core CPU and GPU architectures. The computational efficiency of each platform is evaluated through a series of benchmarks, including data extraction, segmentation, and transformation tasks. Our analysis reveals the inherent parallelization benefits of GPUs in handling large-scale point cloud data, while also considering the accessibility of multi-core CPUs. Also, a comparison between the NVIDIA RTX 3070 and NVIDIA RTX 4060 is provided. The RTX 3070 showed roughly a speed up of 8 times over the RTX 4060. In addition, the Multi-core implementation outperforms up to 10 times over the single-core. These results overall show the benefits of using the Multi-core and the GPU accelerating approaches to this application, with the availability for further improvements.
para>Driving styles can be used to characterize the behavioral characteristics of drivers, and provide a personalized foundation for the development of intelligent driving systems. The electrophysiological analysis...
详细信息
暂无评论