Utilizing the collective wisdom of fintech in the gcc region: A systematic mapping approach
Globally, with the maturity of information technology, society is now in the information age,
magnifying the significance of integrating innovative applications in different financial and …
magnifying the significance of integrating innovative applications in different financial and …
Heterogeneous IoT (HetIoT) security: techniques, challenges and open issues
The HetIoT is a new emergent technology widely used to offer QoS to applications such as
health monitoring systems, agriculture 4.0, traffic monitoring, industry 4.0, and civil defense …
health monitoring systems, agriculture 4.0, traffic monitoring, industry 4.0, and civil defense …
Highly accurate and reliable wireless network slicing in 5th generation networks: a hybrid deep learning approach
In current era, the next generation networks like 5th generation (5G) and 6th generation (6G)
networks requires high security, low latency with a high reliable standards and capacity. In …
networks requires high security, low latency with a high reliable standards and capacity. In …
Efficient and reliable hybrid deep learning-enabled model for congestion control in 5G/6G networks
Future generation networks such as millimeter-wave LAN, broadband wireless access
systems, and 5th or 6th generation (5G/6G) networks demand more security, low latency …
systems, and 5th or 6th generation (5G/6G) networks demand more security, low latency …
Efficient resource management in 6G communication networks using hybrid quantum deep learning model
The sixth generation (6G) wireless communication network is expected to provide wide-
ranging coverage, short latency, cost effectiveness, lower power consumption, and a high …
ranging coverage, short latency, cost effectiveness, lower power consumption, and a high …
A novel IoT intrusion detection framework using Decisive Red Fox optimization and descriptive back propagated radial basis function models
Abstract The Internet of Things (IoT) is extensively used in modern-day life, such as in smart
homes, intelligent transportation, etc. However, the present security measures cannot fully …
homes, intelligent transportation, etc. However, the present security measures cannot fully …
Deep learning‐based efficient model development for phishing detection using random forest and BLSTM classifiers
With the increase in the number of electronic devices and developments in the
communication system, security becomes one of the challenging issues. Users are …
communication system, security becomes one of the challenging issues. Users are …
[PDF][PDF] Human emotion recognize using convolutional neural network (CNN) and Mel frequency cepstral coefficient (MFCC)
J Mannar Mannan, L Srinivasan… - Seybold Report …, 2023 - seyboldpublications.com
Developing an application for definitive human emotion state recognition is yet to optimize to
resolve problems in mental health diagnosis. Facial expression together with voice …
resolve problems in mental health diagnosis. Facial expression together with voice …
Smart object detection and home appliances control system in smart cities
During the last decade the emergence of Internet of Things (IoT) based applications inspired
the world by providing state of the art solutions to many common problems. From traffic …
the world by providing state of the art solutions to many common problems. From traffic …
An efficient boosting-based windows malware family classification system using multi-features fusion
Z Chen, X Ren - Applied Sciences, 2023 - mdpi.com
In previous years, cybercriminals have utilized various strategies to evade identification,
including obfuscation, confusion, and polymorphism technology, resulting in an exponential …
including obfuscation, confusion, and polymorphism technology, resulting in an exponential …