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Deep learning for steganalysis of diverse data types: A review of methods, taxonomy, challenges and future directions
Steganography and steganalysis are two interrelated aspects of the field of information
security. Steganography seeks to conceal communications, whereas steganalysis aims to …
security. Steganography seeks to conceal communications, whereas steganalysis aims to …
Empowering precision medicine: AI-driven schizophrenia diagnosis via EEG signals: A comprehensive review from 2002–2023
Schizophrenia (SZ) is a prevalent mental disorder characterized by cognitive, emotional,
and behavioral changes. Symptoms of SZ include hallucinations, illusions, delusions, lack of …
and behavioral changes. Symptoms of SZ include hallucinations, illusions, delusions, lack of …
[HTML][HTML] A deep learning technique for intrusion detection system using a Recurrent Neural Networks based framework
SM Kasongo - Computer Communications, 2023 - Elsevier
In recent years, the spike in the amount of information transmitted through communication
infrastructures has increased due to the advances in technologies such as cloud computing …
infrastructures has increased due to the advances in technologies such as cloud computing …
I-vit: Integer-only quantization for efficient vision transformer inference
Abstract Vision Transformers (ViTs) have achieved state-of-the-art performance on various
computer vision applications. However, these models have considerable storage and …
computer vision applications. However, these models have considerable storage and …
Enhancing intrusion detection: a hybrid machine and deep learning approach
The volume of data transferred across communication infrastructures has recently increased
due to technological advancements in cloud computing, the Internet of Things (IoT), and …
due to technological advancements in cloud computing, the Internet of Things (IoT), and …
Emotion recognition based on brain-like multimodal hierarchical perception
X Zhu, Y Huang, X Wang, R Wang - Multimedia Tools and Applications, 2024 - Springer
Emotion recognition has gained prominence in diverse applications ranging from safe
driving and e-commerce to healthcare. Traditional approaches have often relied on single …
driving and e-commerce to healthcare. Traditional approaches have often relied on single …
Improved cocoso method based on frank softmax aggregation operators for t-spherical fuzzy multiple attribute group decision-making
In this article, a novel CoCoSo (Combined compromise solution) method based on Frank
operational laws and softmax function is investigated to handle multiple attribute group …
operational laws and softmax function is investigated to handle multiple attribute group …
Softermax: Hardware/software co-design of an efficient softmax for transformers
Transformers have transformed the field of natural language processing. Their superior
performance is largely attributed to the use of stacked “self-attention” layers, each of which …
performance is largely attributed to the use of stacked “self-attention” layers, each of which …
Designing novel AAD pooling in hardware for a convolutional neural network accelerator
Convolutional neural network (CNN) hardware accelerators for specialized Internet of
Things (IoT) requiring high accuracy is an emerging research topic. The pooling module in a …
Things (IoT) requiring high accuracy is an emerging research topic. The pooling module in a …
[HTML][HTML] Towards the development of an explainable e-commerce fake review index: An attribute analytics approach
Instruments of corporate risk and reputation assessment tools are quintessentially
developed on structured quantitative data linked to financial ratios and macroeconomics. An …
developed on structured quantitative data linked to financial ratios and macroeconomics. An …