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Taxonomy on EEG Artifacts Removal Methods, Issues, and Healthcare Applications
Electroencephalogram (EEG) signals are progressively growing data widely known as biomedical big data, which is applied in biomedical and healthcare research. The measurement and processing of EEG signal result in the...
TA-WHI
The healthcare data available on social media has exploded in recent years. The cures and treatments suggested by non-medical experts can lead to more damage than expected. Assuring the credibility of the information conveyed is...
Quantification of the plant terpenome
Plant essential oils are complex mixtures of volatile organic compounds, which play indispensable roles in communication, defense, and adaptive evolution. The complete chemical library produced by a plant is referred to as its...
Acceleration of Deep Convolutional Neural Networks Using Adaptive Filter Pruning
While convolutional neural networks (CNNs) have achieved remarkable performance on various supervised and unsupervised learning tasks, they typically consist of a massive number of parameters. This results in significant memory...
Rectification-based Knowledge Retention for Task Incremental Learning

In the task incremental learning problem, deep learning models suffer from catastrophic forgetting of previously seen classes/tasks as they are trained on new classes/tasks. This problem becomes even harder when some of the...

Social Media (SM) Effects on Self-Esteem (SE) and Body Image (BI) of Teenage Girls Using Artificial Intelligence (AI)
In the modern era social media (SM) plays a vital role in everyone's life; there are many challenging issues and problems in social media (SM). Among them, self-esteem (SE) and body image (BI) analysis of behavior are major...
Generating a Mental Health Curve for Monitoring Depression in Real Time by Incorporating Multimodal Feature Analysis Through Social Media Interactions
The coronavirus pandemic has led to a dramatic increase in depression cases worldwide. Several people are utilizing social media to share their depression or suicidal thoughts. Thus, the major goal of the proposed study is to...
Association Between Cyberbullying Victimization and Loneliness Among Adolescents
Cyberbullying may create psychological well-being problems and several coping strategies can augment the strength between cyberbullying and psychological well-being issues. The current study endeavors to investigate the...
Systematics of type IIB moduli stabilisation with odd axions
Moduli stabilisation in superstring compactifications on Calabi-Yau orientifolds remains a key challenge in the search for realistic string vacua. In particular, odd moduli arising from the reduction of 2-forms (B2, C2) in type...
Acceleration of Deep Convolutional Neural Networks Using Adaptive Filter Pruning
While convolutional neural networks (CNNs) have achieved remarkable performance on various supervised and unsupervised learning tasks, they typically consist of a massive number of parameters. This results in significant memory...
Rectification-based Knowledge Retention for Task Incremental Learning

In the task incremental learning problem, deep learning models suffer from catastrophic forgetting of previously seen classes/tasks as they are trained on new classes/tasks. This problem becomes even harder when some of the...

A systematic approach to Kahler moduli stabilisation
Abstract: Achieving full moduli stabilisation in type IIB string compactifications for generic Calabi-Yau threefolds with hundreds of Kähler moduli is notoriously hard. This is due not just to the very fast increase of the...
Online Footwear Sales
The purpose of the study is to investigate factors that determine consumers' online purchase intention of buying footwear. Footwear, being a high involvement product, is difficult to sell online as people try size to fit before...
Maxmin Data Range Heuristic-Based Initial Centroid Method of Partitional Clustering for Big Data Mining
The centroid-based clustering algorithm depends on the number of clusters, initial centroid, distance measures, and statistical approach of central tendencies. The initial centroid initialization algorithm defines convergence...
Trust-Based Opportunistic Network Offloaders for Smart Agriculture
With the enormous use of internet of things-based devices for enabling smart agriculture, there is a significant need for efficient systems in order to improve agricultural practices. It can help efficiently to develop optimal...
Energy-Aware VM Scheduler
Cost is the backbone of any business model to sustain and growth in the competitive business market. Considering this, higher energy consumption may affect the operational cost of any industry. Cloud computing is one of the most...
A Novel Method for Despeckling of Ultrasound Images Using Cellular Automata-Based Despeckling Filter
Ultrasound images have an inherent property termed as speckle noise that is the outcome of interference between incident and reflected ultrasound waves which reduce image resolution and contrast and could lead to improper...
Effect of Social Media Personalization on Brand Strength
Personalization is now used at every corner and position of social media sites. Using Personalization in marketing communication is an effective communication strategy for many businesses to improve customer satisfaction...
Improving Operational Efficiency in Radiology Using Artificial Intelligence
New developments in information technology are revolutionizing healthcare operations by providing new ways to optimize operational efficiency and reduce costs. Among the methods are artificial intelligence, machine learning...
A systematic approach to Kähler moduli stabilisation
Abstract: Achieving full moduli stabilisation in type IIB string compactifications for generic Calabi-Yau threefolds with hundreds of Kähler moduli is notoriously hard. This is due not just to the very fast increase of the...
Systematics of type IIB moduli stabilisation with odd axions
M Cicoli, A Schachner, P Shukla
Apr 04, 2022
Moduli stabilisation in superstring compactifications on Calabi-Yau orientifolds remains a key challenge in the search for realistic string vacua. In particular, odd moduli arising from the reduction of 2-forms $(B_2,C_2)$...

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