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Classification of Medical Health Records Using Convolutional Neural Networks for Optimal Diagnosis
Pneumonia is considered to be one of the lungs affecting inflammation for small air sacs. Dry cough, chest pain, fever, and breathing difficulty are...
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A Pragmatic Review of QoS Optimisations in IoT Driven Networks
With advent of Internet of Things (IoT) an exponential growth has been observed in recent times towards the use of fifth generation (5G) network to...
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Solving arithmetic word problems by synergizing syntax-semantics extractor for explicit relations and neural network miner for implicit relations
This paper presents a relation-centric algorithm for solving arithmetic word problems (AWPs) by synergizing a syntax-semantics extractor for...
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Brain’s Networks and Their Functional Significance in Cognition
Understanding the brain’s cognitive function depends on the knowledge of how neural units interconnect both locally, within distinct brain regions,...
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A weighted deep autoencoder (WDAE) based hybrid feature extraction model for the detection of communities in social networks
A community of a network exhibits characteristics and relationships unique to its members. The identification of communities is crucial to network...
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Convolutional Neural Network-Based EEG Signal Analysis: A Systematic Review
The identification and classification of human brain activities are essential for many medical and Brain-Computer Interface (BCI) systems, saving...
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Multimodal learning with graphs
Artificial intelligence for graphs has achieved remarkable success in modelling complex systems, ranging from dynamic networks in biology to...
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Research on GCN Classification Model Based on CNKI Citation Network
Citation networks, as an important type of graph-structured data, have been widely applied in fields such as academic research, scientific...
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Data Generation Method and Training Mode of Relationship Extraction Based on Neural Network
As one of the most common and effective techniques for obtaining information, relation extraction is a key task in machine learning. Understanding...
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Energy-Aware Congestion Control Technique Based on Hybrid Weight-Based Optimization Algorithm in Wireless Mobile Communication Networks
Energy-aware congestion-free data routing is one of the critical challenges in successful data transmission for mobile sensor communication...
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Graph-based method for human-object interactions detection
Human-object interaction (HOIs) detection is a new branch of visual relationship detection, which plays an important role in the field of image...
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Blockchain Sensor Network Based CPS Analysis in Healthcare System for Real Time Applications Using 6G IoT Model and Deep Learning Techniques
A cyber-physical system (CPS) combines communication and computer systems with physical processes. Recent developments in wireless sensor networks...
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Efficient diabetic retinopathy detection using convolutional neural network and data augmentation
Diabetic retinopathy (DR) has become a major disease which causes loss of vision worldwide. If the retinal disease is not treated in a timely manner,...
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A Novel Context-Aware Computing Framework with the Internet of Things and Prediction of Sensor Rank Using Random Neural XG-Boost Algorithm
The amount of sensors being used worldwide is gradually increasing as the Internet of Things (IoT) draws closer. According to market data, sensor...
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Trust aware secured energy efficient fuzzy clustering-based protocol in wireless sensor networks
Recent advancements in Wireless Sensor Networks (WSNs) have generated interest in the field of sensor tracking events. Environment monitoring is one...
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Automated Classification of Semiconductor Defect Density SEM Images Using Deep Learning
The early detection of defect density issues is a crucial part of product reliability in the semiconductor manufacturing industry, since it prevents...
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Machine Learning in Healthcare Analytics: A State-of-the-Art Review
The use of machine learning (ML) models have become a crucial factor in the growing field of healthcare, ushering in a new era of medical research...
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Fast user authentication in 5G heterogeneous networks using RLAC-FNN and blockchain technology for handoff delay reduction
In the fifth generation (5G), ultra-dense heterogeneous network (UDHN) is considered as a prominent technology to resolve network system problems. It...
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Secure AI-Based Flying Ad Hoc Networks: Trusted Communication
Unmanned aerial vehicles are real-time applications for flying networks which encourage multi-UAV structures. A multi-UAV system has a corporate...
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Content-Centric Prediction Model for Early Autism Spectrum Disorder (ASD) Screening in Children
Autism spectrum disorder (ASD) is a severe developmental disorder that impacts the capacity of patient to communicate and interact. Its symptoms are...