Search Results - "Rehman, Amjad"
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Brain tumor segmentation using K‐means clustering and deep learning with synthetic data augmentation for classification
Published in Microscopy research and technique (01-07-2021)“…Image processing plays a major role in neurologists' clinical diagnosis in the medical field. Several types of imagery are used for diagnostics, tumor…”
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Facial Emotion Recognition Using Conventional Machine Learning and Deep Learning Methods: Current Achievements, Analysis and Remaining Challenges
Published in Information (Basel) (25-05-2022)“…Facial emotion recognition (FER) is an emerging and significant research area in the pattern recognition domain. In daily life, the role of non-verbal…”
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Microscopic brain tumor detection and classification using 3D CNN and feature selection architecture
Published in Microscopy research and technique (01-01-2021)“…Brain tumor is one of the most dreadful natures of cancer and caused a huge number of deaths among kids and adults from the past few years. According to WHO…”
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Secure and energy-efficient framework using Internet of Medical Things for e-healthcare
Published in Journal of infection and public health (01-10-2020)“…In various fields, the internet of things (IoT) gains a lot of popularity due to its autonomous sensors operations with the least cost. In medical and…”
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Classification of acute lymphoblastic leukemia using deep learning
Published in Microscopy research and technique (01-11-2018)“…Acute Leukemia is a life‐threatening disease common both in children and adults that can lead to death if left untreated. Acute Lymphoblastic Leukemia (ALL)…”
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Detecting Pneumonia using Convolutions and Dynamic Capsule Routing for Chest X-ray Images
Published in Sensors (Basel, Switzerland) (15-02-2020)“…An entity's existence in an image can be depicted by the activity instantiation vector from a group of neurons (called capsule). Recently, multi-layered…”
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Machine learning techniques to detect and forecast the daily total COVID‐19 infected and deaths cases under different lockdown types
Published in Microscopy research and technique (01-07-2021)“…COVID‐19 has impacted the world in many ways, including loss of lives, economic downturn and social isolation. COVID‐19 was emerged due to the SARS‐CoV‐2 that…”
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Hand-crafted and deep convolutional neural network features fusion and selection strategy: An application to intelligent human action recognition
Published in Applied soft computing (01-02-2020)“…Human action recognition (HAR) has gained much attention in the last few years due to its enormous applications including human activity monitoring, robotics,…”
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Removal of pectoral muscle based on topographic map and shape-shifting silhouette
Published in BMC cancer (01-08-2018)“…In digital mammography, finding accurate breast profile segmentation of women's mammogram is considered a challenging task. The existence of the pectoral…”
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A Deep Learning Approach for Automated Diagnosis and Multi-Class Classification of Alzheimer’s Disease Stages Using Resting-State fMRI and Residual Neural Networks
Published in Journal of medical systems (01-02-2020)“…Alzheimer’s disease (AD) is an incurable neurodegenerative disorder accounting for 70%–80% dementia cases worldwide. Although, research on AD has increased in…”
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Multimodal Brain Tumor Classification Using Deep Learning and Robust Feature Selection: A Machine Learning Application for Radiologists
Published in Diagnostics (Basel) (06-08-2020)“…Manual identification of brain tumors is an error-prone and tedious process for radiologists; therefore, it is crucial to adopt an automated system. The binary…”
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A Revisit of Internet of Things Technologies for Monitoring and Control Strategies in Smart Agriculture
Published in Agronomy (Basel) (01-01-2022)“…With the rise of new technologies, such as the Internet of Things, raising the productivity of agricultural and farming activities is critical to improving…”
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An effective content-based image retrieval technique for image visuals representation based on the bag-of-visual-words model
Published in PloS one (25-04-2018)“…For the last three decades, content-based image retrieval (CBIR) has been an active research area, representing a viable solution for retrieving similar images…”
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Deep Learning for Intrusion Detection and Security of Internet of Things (IoT): Current Analysis, Challenges, and Possible Solutions
Published in Security and communication networks (09-07-2022)“…In the last decade, huge growth is recorded globally in computer networks and Internet of Things (IoT) networks due to the exponential data generation,…”
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A resource conscious human action recognition framework using 26-layered deep convolutional neural network
Published in Multimedia tools and applications (01-11-2021)“…Vision-based human action recognition (HAR) is a hot topic of research from the decade due to a few popular applications such as visual surveillance and…”
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Optimizing the transfer‐learning with pretrained deep convolutional neural networks for first stage breast tumor diagnosis using breast ultrasound visual images
Published in Microscopy research and technique (01-04-2022)“…Female accounts for approximately 50% of the total population worldwide and many of them had breast cancer. Computer‐aided diagnosis frameworks could reduce…”
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Classification of cancer types based on microRNA expression using a hybrid radial basis function and particle swarm optimization algorithm
Published in Microscopy research and technique (01-05-2024)“…The diagnosis and treatment of cancer is one of the most challenging aspects of the medical profession, despite advances in disease diagnosis. MicroRNAs are…”
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Breast microscopic cancer segmentation and classification using unique 4‐qubit‐quantum model
Published in Microscopy research and technique (01-05-2022)“…The visual inspection of histopathological samples is the benchmark for detecting breast cancer, but a strenuous and complicated process takes a long time of…”
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Secure Edge-Based Energy Management Protocol in Smart Grid Environments with Correlation Analysis
Published in Sensors (Basel, Switzerland) (27-11-2022)“…For the monitoring and processing of network data, wireless systems are widely used in many industrial applications. With the assistance of wireless sensor…”
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Device-to-Device (D2D) Multi-Criteria Learning Algorithm Using Secured Sensors
Published in Sensors (Basel, Switzerland) (09-03-2022)“…Wireless networks and the Internet of things (IoT) have proven rapid growth in the development and management of smart environments. These technologies are…”
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