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03/21/2023
CLSA: Contrastive Learning-based Survival Analysis for Popularity Prediction in MEC Networks
Mobile Edge Caching (MEC) integrated with Deep Neural Networks (DNNs) is...
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11/29/2022
Transformer-based Hand Gesture Recognition via High-Density EMG Signals: From Instantaneous Recognition to Fusion of Motor Unit Spike Trains
Designing efficient and labor-saving prosthetic hands requires powerful ...
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10/27/2022
Spatio-Temporal Hybrid Fusion of CAE and SWIn Transformers for Lung Cancer Malignancy Prediction
The paper proposes a novel hybrid discovery Radiomics framework that sim...
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10/27/2022
Hybrid Indoor Localization via Reinforcement Learning-based Information Fusion
The paper is motivated by the importance of the Smart Cities (SC) concep...
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10/27/2022
ViT-CAT: Parallel Vision Transformers with Cross Attention Fusion for Popularity Prediction in MEC Networks
Mobile Edge Caching (MEC) is a revolutionary technology for the Sixth Ge...
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10/27/2022
Light-weighted CNN-Attention based architecture for Hand Gesture Recognition via ElectroMyography
Advancements in Biological Signal Processing (BSP) and Machine-Learning ...
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10/12/2022
Multi-Content Time-Series Popularity Prediction with Multiple-Model Transformers in MEC Networks
Coded/uncoded content placement in Mobile Edge Caching (MEC) has evolved...
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03/31/2022
AKF-SR: Adaptive Kalman Filtering-based Successor Representation
Recent studies in neuroscience suggest that Successor Representation (SR...
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03/28/2022
TraHGR: Few-shot Learning for Hand Gesture Recognition via ElectroMyography
Deep learning-based Hand Gesture Recognition (HGR) via surface Electromy...
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01/25/2022
ViT-HGR: Vision Transformer-based Hand Gesture Recognition from High Density Surface EMG Signals
Recently, there has been a surge of significant interest on application ...
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01/02/2022
DF-SSmVEP: Dual Frequency Aggregated Steady-State Motion Visual Evoked Potential Design with Bifold Canonical Correlation Analysis
Recent advancements in Electroencephalography (EEG) sensor technologies ...
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12/31/2021
BP-Net: Cuff-less, Calibration-free, and Non-invasive Blood Pressure Estimation via a Generic Deep Convolutional Architecture
Objective: The paper focuses on development of robust and accurate proce...
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12/30/2021
Multi-Agent Reinforcement Learning via Adaptive Kalman Temporal Difference and Successor Representation
Distributed Multi-Agent Reinforcement Learning (MARL) algorithms has att...
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12/01/2021
TEDGE-Caching: Transformer-based Edge Caching Towards 6G Networks
As a consequence of the COVID-19 pandemic, the demand for telecommunicat...
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10/17/2021
Data Shapley Value for Handling Noisy Labels: An application in Screening COVID-19 Pneumonia from Chest CT Scans
A long-standing challenge of deep learning models involves how to handle...
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10/17/2021
CAE-Transformer: Transformer-based Model to Predict Invasiveness of Lung Adenocarcinoma Subsolid Nodules from Non-thin Section 3D CT Scans
Lung cancer is the leading cause of mortality from cancer worldwide and ...
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10/17/2021
Hand Gesture Recognition Using Temporal Convolutions and Attention Mechanism
Advances in biosignal signal processing and machine learning, in particu...
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10/01/2021
Q-Net: A Quantitative Susceptibility Mapping-based Deep Neural Network for Differential Diagnosis of Brain Iron Deposition in Hemochromatosis
Brain iron deposition, in particular deep gray matter nuclei, increases ...
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09/25/2021
TEMGNet: Deep Transformer-based Decoding of Upperlimb sEMG for Hand Gestures Recognition
There has been a surge of recent interest in Machine Learning (ML), part...
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09/19/2021
Robust Automated Framework for COVID-19 Disease Identification from a Multicenter Dataset of Chest CT Scans
The objective of this study is to develop a robust deep learning-based f...
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09/01/2021
Online Dynamic Window (ODW) Assisted Two-stage LSTM Frameworks for Indoor Localization
Internet of Things (IoT)-based indoor localization has gained significan...
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08/24/2021
DQLEL: Deep Q-Learning for Energy-Optimized LoS/NLoS UWB Node Selection
Recent advancements in Internet of Things (IoTs) have brought about a su...
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08/09/2021
TB-ICT: A Trustworthy Blockchain-Enabled System for Indoor COVID-19 Contact Tracing
Recently, as a consequence of the COVID-19 pandemic, dependence on Conta...
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07/04/2021
COVID-Rate: An Automated Framework for Segmentation of COVID-19 Lesions from Chest CT Scans
Novel Coronavirus disease (COVID-19) is a highly contagious respiratory ...
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05/31/2021
Human-level COVID-19 Diagnosis from Low-dose CT Scans Using a Two-stage Time-distributed Capsule Network
Reverse transcription-polymerase chain reaction (RT-PCR) is currently th...
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01/28/2021
Joint Transmission Scheme and Coded Content Placement in Cluster-centric UAV-aided Cellular Networks
Recently, as a consequence of the COVID-19 pandemic, dependence on telec...
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01/02/2021
COVID19-HPSMP: COVID-19 Adopted Hybrid and Parallel Deep Information Fusion Framework for Stock Price Movement Prediction
The novel of coronavirus (COVID-19) has suddenly and abruptly changed th...
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12/28/2020
Diagnosis/Prognosis of COVID-19 Images: Challenges, Opportunities, and Applications
The novel Coronavirus disease, COVID-19, has rapidly and abruptly change...
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11/11/2020
FS-HGR: Few-shot Learning for Hand Gesture Recognition via ElectroMyography
This work is motivated by the recent advances in Deep Neural Networks (D...
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10/30/2020
CT-CAPS: Feature Extraction-based Automated Framework for COVID-19 Disease Identification from Chest CT Scans using Capsule Networks
The global outbreak of the novel corona virus (COVID-19) disease has dra...
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10/30/2020
COVID-FACT: A Fully-Automated Capsule Network-based Framework for Identification of COVID-19 Cases from Chest CT scans
The newly discovered Corona virus Disease 2019 (COVID-19) has been globa...
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09/28/2020
COVID-CT-MD: COVID-19 Computed Tomography (CT) Scan Dataset Applicable in Machine Learning and Deep Learning
Novel Coronavirus (COVID-19) has drastically overwhelmed more than 200 c...
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08/13/2020
MIXCAPS: A Capsule Network-based Mixture of Experts for Lung Nodule Malignancy Prediction
Lung diseases including infections such as Pneumonia, Tuberculosis, and ...
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05/30/2020
MM-KTD: Multiple Model Kalman Temporal Differences for Reinforcement Learning
There has been an increasing surge of interest on development of advance...
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04/06/2020
COVID-CAPS: A Capsule Network-based Framework for Identification of COVID-19 cases from X-ray Images
Novel Coronavirus disease (COVID-19) has abruptly and undoubtedly change...
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02/03/2020
Siamese Neural Networks for EEG-based Brain-computer Interfaces
Motivated by the inconceivable capability of the human brain in simultan...
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11/09/2019
XceptionTime: A Novel Deep Architecture based on Depthwise Separable Convolutions for Hand Gesture Classification
Capitalizing on the need for addressing the existing challenges associat...
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11/01/2018
Capsule Networks for Brain Tumor Classification based on MRI Images and Course Tumor Boundaries
According to official statistics, cancer is considered as the second lea...
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02/27/2018
Improved Explainability of Capsule Networks: Relevance Path by Agreement
Recent advancements in signal processing and machine learning domains ha...
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02/27/2018
Brain Tumor Type Classification via Capsule Networks
Brain tumor is considered as one of the deadliest and most common form o...
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11/18/2017
