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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
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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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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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...
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Chapter and Conference Paper
Skin Disease Diagnosis: Challenges and Opportunities
The skin acts as a protection barrier against environmental danger and foreign substances. Every year, thousands and millions of people are affected by skin disorders that may cause skin cancer at later stage....
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Chapter and Conference Paper
Trust Management Model in IoT: A Comprehensive Survey
The Internet of Things (IoT) is a network of interlinked objects, without the need for human involvement these interlinked objects that can gather and transmit
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Article
Challenges and Developments in Secure Routing Protocols for Healthcare in WBAN: A Comparative Analysis
The rise in life expectancy of humans, COVID-19 pandemic and growing cost of medical services has brought up huge challenges for the government and healthcare industry. Due to unhealthy lifestyle, there is an ...
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Article
Image Fusion Techniques: A Survey
The necessity of image fusion is growing in recently in image processing applications due to the tremendous amount of acquisition systems. Fusion of images is defined as an alignment of noteworthy Information ...
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Chapter and Conference Paper
Recent Trends in Image Processing Using Granular Computing
The purpose of this paper is to describe recent trends in image using granular computing. Granular computing is used to solve any type of problem with the help of granules. Granules are the key of granular com...
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Chapter and Conference Paper
Multi-focus Image Fusion: Quantitative and Qualitative Comparative Analysis
Multi-focus Image Fusion (MFIF) is a technique that combines multiple images to obtain a composite image in which all the objects are in-focus and have improved image quality. More information is stored by the...
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Chapter and Conference Paper
Detection of Eye Ailments Using Segmentation of Blood Vessels from Eye Fundus Image
Eyes are vital part of the body which can be affected by many diseases that lead to vision loss. Glaucoma is one such eye disease that may cause vision loss. There are multiple reasons for vision loss which ma...
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Chapter and Conference Paper
Computer-Assisted Diagnosis of Thyroid Cancer Using Medical Images: A Survey
Thyroid cancer is the common cancer which can be found mostly in women as compared to men around the world. Thyroid gland is a butterfly-shaped gland that is located around the voice box. Earlier, doctors used...
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Chapter and Conference Paper
Survey of Computer-Aided Diagnosis of Thyroid Nodules in Medical Ultrasound Images
In medical science, diagnostic imaging is an invaluable tool because of restricted observation of the specialist and uncertainties in medical knowledge. A thyroid ultrasound is a non-invasive imaging study use...