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Article
Learning Models in Crowd Analysis: A Review
Crowd detection and counting are important tasks in several applications of crowd analysis including traffic management, public safety and event planning. Automatic crowd counting using images and videos is an...
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Article
Open AccessDeep learning-based image annotation for leukocyte segmentation and classification of blood cell morphology
The research focuses on the segmentation and classification of leukocytes, a crucial task in medical image analysis for diagnosing various diseases. The leukocyte dataset comprises four classes of images such ...
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Article
Attention guided spatio-temporal network for 3D signature recognition
Signatures are considered one of the simplest way to verify a personal identity in many day-to-day application that are ranging from a student’s classroom to a more sophisticated banking operation. However, si...
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Article
Lightweight encryption for privacy protection of data transmission in cyber physical systems
Cyber-physical system (CPS) devices like connected vehicles, consumer appliances, and many other smart devices are built with limited resources like processors and memory. These devices are used to transmit cr...
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Article
Correction to: Fusion of overexposed and underexposed images using caputo differential operator for resolution and texture based enhancement
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Article
Open AccessFusion of overexposed and underexposed images using caputo differential operator for resolution and texture based enhancement
The visual quality of images captured under sub-optimal lighting conditions, such as over and underexposure may benefit from improvement using fusion-based techniques. This paper presents the Caputo Differenti...
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Article
Explainable Methods for Image-Based Deep Learning: A Review
With Artificial Intelligence advancement, Deep neural networks (DNN) are extensively used for decision-making in intelligent systems. However, improved performance and accuracy have been achieved through the i...
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Article
Automated attention deficit classification system from multimodal physiological signals
Lack of attention, if it could not be taken care of and persists for a long time then may lead to a severe issue. Analysis of Electroencephalogram (EEG) signals can effectively measure attention and its defici...
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Chapter and Conference Paper
A Piano Tune Generation Model Using Deep Learning
Among all signal streams, music is one of the most dominating signals. Due to this, the techniques used for extracting and reproducing musical structure have attracted the attention of many researchers around the...
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Chapter and Conference Paper
Segmentation and Classification of Skin Cancer Using K-means Clustering and EfficientNetB0 Model
Nowadays, skin cancer is the widely recognized cancer all over the world. As the spreading rate of skin cancer is increasing day by day, so, there is a need to develop a technique that can detect skin cancer a...
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Chapter and Conference Paper
Machine Learning Techniques for the Diagnosis of Disc Disorders: Comparative Analysis
In recent years, machine learning (ML) techniques have emerged as leading solution providers in almost all real-world problems. Advancements in development of diagnostic procedures have been obtained while imp...
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Book
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Chapter
Machine Learning Models for Alzheimer’s Disease Detection Using Medical Images
Human brain is an exclusive, sophisticated, and intricate structure. Neuro-degeneration is the death of neurons which is the ultimate cause of brain atrophy resulting in multiple neurodegenerative diseases. Ne...
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Book
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Article
An automated deep learning models for classification of skin disease using Dermoscopy images: a comprehensive study
With the explosion of advanced Information and Recognition model, primarily the Deep Learning (DL) and Transfer Learning (TL) models, all aspects of recent research have been influenced. The Biomedical image a...
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Article
Classification of Gurumukhi month’s name images using various convolutional neural network optimizers
The Gurumukhi script has a complex structure for which text recognition based on an analytical approach can misinterpret the script. For error-free results in text recognition, the author has proposed a holist...
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Article
Convolutional neural network based hurricane damage detection using satellite images
Hurricanes are tropical storms that cause immense damage to human life and property. Rapid assessment of damage caused by hurricanes is extremely important for the first responders. But this process is usually...
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Article
Characteristics and anti-toxicity analysis of Fe–Cu13x catalytic oxidation of NO at low temperature and its application in industry
The Fe–Cu13x molecular sieve catalyst was synthesized by ion exchange method. The product is having various applications, mainly within the food industry, agriculture industry, and also within the pharmaceutic...
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Article
Dynamics of food nutrient loss and prediction of nutrient loss under variable temperature conditions
The research-based on nutritionist value of fruits and vegetables has gained importance in the last few decades. In order to better guide the reasonable heat treatment of vegetables and fruits, this work explo...
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Chapter and Conference Paper
Thoracic Disease Chest Radiographic Image Dataset: A Comprehensive Review
Computer aided diagnosis (CAD) system uses an algorithm to analyze a medical image and interpret the abnormality from the image. CAD provides assistance to radiologists/doctor to assess and categorize the path...
