IEEE

Rainfall Classification Using Machine Learning Algorithms on Data Mining Platforms

Abstract: Weather conditions directly affect sectors such as agriculture and transport. With climate change, unpredictability is increasing and traditional calculation methods may not be sufficient.

Yunnan Electric Grid Applies for Deep Learning Autonomous Driving Grid Patent, **AI** Empowers the Intelligentization of Power Systems

According to the latest information from the National Intellectual Property Administration, Yunnan Electric Grid Co., Ltd. applied for a patent titled "A Panorama Intelligent Autonomous Driving ...
IEEE

Optimized CNN Framework for Heart Attack Detection in Consumer Healthcare Systems Using Flower Pollination Algorithm

Abstract: One of the primary causes of death globally, heart disease still affects millions of people; thus, early identification is very essential for efficient treatment. To meet the need for ...

Visual Recognition Technology Leads Glove Wearing Automatic Identification System Towards Intelligence

The principle of using visual recognition technology for glove wearing identification relies primarily on advanced image ...
IEEE

Adaptive Transfer Learning Assisted Multimodal Multi-objective Optimization Algorithm Based on Zoning Search

Abstract: Zoning search strategies have been utilized to solve multimodal multi-objective optimization problems (MMOPs). However, effectively transferring knowledge among subspaces and mitigating the ...

Top 5 AI Jobs To Earn Lakhs Monthly And Stay In Demand For The Next 10 Years

AI is booming! These 5 top jobs offer high pay, growth, and demand for the next decade. So, start learning today!
IEEE

Optimizing CNN for IoT Anomaly Detection in 6G using Ant Lion Optimizer and Slime Mould Algorithm

Abstract: The fast spread of the Internet of Things (IoT) and the approaching deployment of 6G networks have presented hitherto unheard-of possibilities and problems in network security. IoT devices ...
IEEE

Deep Learning-Based ECG Signal Quality Determination with Optimized CNN Hyperparameters

Abstract: Electrocardiogram (ECG) signal quality assessment (SQA) is crucial for accurate cardiac diagnosis and monitoring. This study proposes a deep learning-based approach using a convolutional ...
IEEE

SDCnet: A Deep Learning Network Model for Road Segmentation Based on CNN and Transformer

Abstract: Road segmentation is a key task in remote sensing semantic segmentation, and the existing deep learning methods still have the problems of insufficient fineness, difficulty in modeling ...
IEEE

Deep Learning and Optimization Algorithms for Intelligent Cloud Resource Allocation: A Survey

Abstract: With the arrival of the cloud computing, modern IT infrastructure has been transformed by the ability to provision resources on demand and scalable over the internet. Nevertheless, due to ...
IEEE

A Novel Transformer-CNN Hybrid Deep Learning Architecture for Robust Broad-Coverage Diagnosis of Eye Diseases on Color Fundus Images

Abstract: We present a novel and robust deep-learning architecture that takes into account the pathological characteristics of eye diseases on color fundus images. The proposed hybrid architecture is ...
Business Wire

HeartBeam’s Deep Learning Algorithms Demonstrate High Rates of Accuracy for Detecting Arrhythmias

New study presented at HRX Live 2025 demonstrates continued advancement of company’s AI program HeartBeam's AI algorithm performed equally well on HeartBeam 3D ECG system and standard 12L ECGs in ...