Browsing Computer Science & Engineering by Subject "machine learning"
Now showing items 1-20 of 31
-
5G vehicular network resource management for improving radio access through machine learning
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Article)The current cellular technology and vehicular networks cannot satisfy the mighty strides of vehicular network demands. Resource management has become a complex and challenging objective to gain expected outcomes in a ... -
A Comparative Study of Machine Learning Approaches for Handwriter Identification
( Institute of Electrical and Electronics Engineers Inc. , 2019 , Conference Paper)During the past few years, writer identification has attracted significant interest due to its real-life applications including document analysis, forensics etc. Machine learning algorithms have played an important role ... -
A Generative Model to Synthesize EEG Data for Epileptic Seizure Prediction
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)Objective: Scarcity of good quality electroencephalography (EEG) data is one of the roadblocks for accurate seizure prediction. This work proposes a deep convolutional generative adversarial network (DCGAN) to generate ... -
A Heuristic Statistical Testing Based Approach for Encrypted Network Traffic Identification
( Institute of Electrical and Electronics Engineers Inc. , 2019 , Article)In recent years, malware with strong concealment uses encrypted protocol to evade detection. Thus, encrypted traffic identification can help security analysts to be more effective in narrowing down those encrypted network ... -
A Hybrid Feature Selection Method for Complex Diseases SNPs
( Institute of Electrical and Electronics Engineers Inc. , 2017 , Article)Machine learning techniques have the potential to revolutionize medical diagnosis. Single Nucleotide Polymorphisms (SNPs) are one of the most important sources of human genome variability; thus, they have been implicated ... -
A Malware Detection Method for Health Sensor Data Based on Machine Learning
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)Traditional signature-based malware detection approaches are sensitive to small changes in the malware code. Currently, most malware programs are adapted from existing programs. Hence, they share some common patterns but ... -
A Novel Deep Learning Strategy for Classifying Different Attack Patterns for Deep Brain Implants
( Institute of Electrical and Electronics Engineers Inc. , 2019 , Article)Deep brain stimulators (DBSs), a widely used and comprehensively acknowledged restorative methodology, are a type of implantable medical device which uses electrical stimulation to treat neurological disorders. These devices ... -
An optimizing and differentially private clustering algorithm for mixed data in SDN-based smart grid
( Institute of Electrical and Electronics Engineers Inc. , 2019 , Article)Software-defined network (SDN) is widely used in smart grid for monitoring and managing the communication network. Big data analytics for SDN-based smart grid has got increasing attention. It is a promising approach to use ... -
Artificial Intelligence and Cyber Defense System for Banking Industry: A Qualitative Study of AI Applications and Challenges
( Taylor & Francis , 2022 , Article)Cyberattacks are becoming more and more intense in the banking industry (Ryzhkova et al. 2020). Banking industry is trying to adopt artificial intelligence to create cyber defence system so that the unauthorized access and ... -
COLAP: A predictive framework for service function chain placement in a multi-cloud environment
( Institute of Electrical and Electronics Engineers Inc. , 2017 , Conference Paper)Network function virtualization (NFV) over multi-cloud promises network service providers amazing flexibility in service deployment and optimizing cost. Telecommunications applications are, however, sensitive to performance ... -
Collaborative Federated Learning for Healthcare: Multi-Modal COVID-19 Diagnosis at the Edge
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Article)Despite significant improvements over the last few years, cloud-based healthcare applications continue to suffer from poor adoption due to their limitations in meeting stringent security, privacy, and quality of service ... -
Cost effective assessment of transformers using machine learning approach
( IEEE Computer Society , 2014 , Conference Paper)Furan content in transformer oil is highly correlated with the transformer insulation paper aging. In this paper, the ranges of furan content in power transformer is predicted using measurements of transformer oil tests ... -
Crowd Counting: A Survey of Machine Learning Approaches
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)Crowd counting is applied in many areas including efficient resources allocation and effective management of emergency situations. In this paper, we survey and compare various crowd counting methods. Additionally, we ... -
Deep CNN-Based real-time traffic light detector for self-driving vehicles
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Article)Due to the unavailability of Vehicle-to-Infrastructure (V2I) communication in current transportation systems, Traffic Light Detection (TLD) is still considered an important module in autonomous vehicles and Driver Assistance ... -
DeepAutoD: Research on Distributed Machine Learning Oriented Scalable Mobile Communication Security Unpacking System
( IEEE Computer Society , 2022 , Article)The rapid growth of Android smart phones and abundant applications (Apps), a new security solution for distributed computing and mobile communications, has prompted many enhanced vendors to use different methods to effectively ... -
Digital Twin for Intelligent Context-Aware IoT Healthcare Systems
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)Since the emergence of digital and smart healthcare, the world has hastened to apply various technologies in this field to promote better health operation and patients' well being, increase life expectancy, and reduce ... -
DTW based Authentication for Wireless Medical Device Security
( Institute of Electrical and Electronics Engineers Inc. , 2018 , Conference Paper)Wireless medical devices play an important role in providing safety and privacy to patients suffering from major health issues. These light-weight devices can be worn inside or outside the patient's body and provide more ... -
Edge Technologies for Disaster Management: A Survey of Social Media and Artificial Intelligence Integration
( Institute of Electrical and Electronics Engineers Inc. , 2023 , Article)Within the paradigm of smart cities, smart devices can be considered as a tool to enhance safety. Edge sensing, Internet of Things (IoT), big data, social media analytics, edge computing, and artificial intelligence are ... -
Efficient Pandemic Infection Detection Using Wearable Sensors and Machine Learning
( Institute of Electrical and Electronics Engineers Inc. , 2023 , Conference Paper)More than three years into the coronavirus disease 2019 (COVID-19) pandemic, it can be noted that the measures put in place for societies to manage the spread of this disease could have been better. For example, contact ... -
Fast, Reliable, and Secure Drone Communication: A Comprehensive Survey
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)Drone security is currently a major topic of discussion among researchers and industrialists. Although there are multiple applications of drones, if the security challenges are not anticipated and required architectural ...