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Revolution of TAM
The chapter conducts an in-depth investigation of the Technology Acceptance Model (TAM) through a comprehensive systematic review, offering profound...
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Epilogue: What Will the Future of TAM Be Like?
The chapter explores the trajectory of the Technology Acceptance Model (TAM), characterized by its societal influence, capacity to handle and adapt...
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Evolution of TAM
The chapter traces the evolution of the Technology Acceptance Model (TAM) and underscores its consistent efficacy in predicting user acceptance...
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Actionable Principles: The Seven Pillars Framework
The chapter introduces the Seven Pillars Framework, serving as a strategic guide for researchers and practitioners who aim to customize the TAM++...
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Introduction: “Once Upon a TAM”
The chapter delves into Fred’s retrospective account of develo** the Technology Acceptance Model (TAM), shedding light on the model’s...
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Autism Spectrum Disorder Detection Using Transfer Learning with VGG 19, Inception V3 and DenseNet 201
A person with autism or autism spectrum disorder (ASD) has trouble recognizing, socializing, and communicating with others. ASD is not only about one...
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IoT and Blockchain Oriented Gender Determination of Bangladeshi Populations
Forensic and medical-legal investigations depend heavily on sex identification. The most precise and trustworthy evidence of a person's identity are...
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A Computational Study on Calibrated VGG19 for Multimodal Learning and Representation in Surveillance
This research discusses the pre-trained deep learning architecture for the multimodal learning and representation in surveillance system. This...
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Alzheimer’s Disease Detection Using Ensemble Learning and Artificial Neural Networks
This paper presents an ensemble method using machine learning classification algorithms and an artificial neural network-based scheme using the...
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Performance Analysis of CNN and Quantized CNN Model for Rheumatoid Arthritis Identification Using Thermal Image
Rheumatoid Arthritis (RA) is distinguished by antibody-mediated inflammation. The most prevalent indications of RA are inflammatory, swollen ankles,...
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Data Poisoning Attack by Label Flip** on SplitFed Learning
In the distributed machine learning scenario, we have Split Learning (SL) and Federated Learning (FL) as the popular techniques. In SL, the model is...
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Analyzing Chest X-Ray to Detect the Evidence of Lung Abnormality Due to Infectious Disease
Analyzing chest X-ray is the must especially when are required to deal of infectious disease outbreak, and COVID-19. The COVID-19 pandemic has had a...
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Shrimp Shape Analysis by a Chord Length Function Based Methodology
The most expensive operational cost in shrimp farming and in every aquaculture system is feeding. To estimate the quantity of food is necessary to...
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Data Characterization for Reliable AI in Medicine
Research in Artificial Intelligence (AI)-based medical computer vision algorithms bear promises to improve disease screening, diagnosis, and...
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The Influence of National Culture on Evacuation Response Behaviour and Time: An Agent-Based Approach
“How does culture, in combination with cues, settings and affiliation, influence response-phase behaviour and time and total evacuation time?”. A...
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Land Use Management Using Multi-Agent Based Simulation in a Watershed in South of the Brazil
The change in land use in a region can have huge impacts on the environment. For land use management to be effective, it is necessary to explore the...
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School’s Out? Simulating Schooling Strategies During COVID-19
Multi-agent based systems offer the possibility to examine the effects of policies down to specific target groups while also considering the effects...
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Replacing Method for Multi-Agent Crowd Simulation by Convolutional Neural Network
Multi-agent crowd simulations are used to analyze crowd flows. However, there is a critical problem that the computational time increases with the...
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Sailing Along the Coast of North Etruria: Ancient Perceptions Versus Multidisciplinary Coastal Landscape Studies
Aim of this contribution is to demonstrate how digital methods, in combination with traditional sources, can effectively contribute to reconstruct a...