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Multi-agent Game Domain: Monopoly
In the previous chapters we have looked at the visual domain and single-agent environments for action domains. In this chapter, we will apply the... -
Non-linear Regression
In this chapter, we will refine the results of linear algorithms using nonlinear minimisation algorithms, such as LM. This is more computationally... -
Contextual and Semantic Novelty in Text
Novelty, anomaly, or out-of-distribution (OOD) detection has been an active research area for decades, since the 1960s [1, 2], due to its widespread... -
Prostate Segmentation Using Multiparametric and Multiplanar Magnetic Resonance Images
Diseases related to the prostate and distal urethra, such as prostate cancer, benign prostatic hyperplasia and urinary incontinence, may be detected... -
Unlocking Fine-Grained Details with Wavelet-Based High-Frequency Enhancement in Transformers
Medical image segmentation is a critical task that plays a vital role in diagnosis, treatment planning, and disease monitoring. Accurate segmentation... -
Multi-modal Adapter for Medical Vision-and-Language Learning
Recently, medical vision-and-language learning has attracted great attention from biomedical communities. Thanks to the development of large... -
Self-training with Domain-Mixed Data for Few-Shot Domain Adaptation in Medical Image Segmentation Tasks
Deep learning has shown significant progress in medical image analysis tasks such as semantic segmentation. However, deep learning models typically... -
Dual-Stream Model with Brain Metrics and Images for MRI-Based Fetal Brain Age Estimation
The disparity between chronological age and estimated brain age from images is a significant indicator of abnormalities in brain development.... -
Reconstruction of 3D Fetal Brain MRI from 2D Cross-Sectional Acquisitions Using Unsupervised Learning Network
Fetal brain magnetic resonance imaging (MRI) is becoming more important for early brain assessment in prenatal examination. Fast acquisition of three... -
Skin Lesion Segmentation Improved by Transformer-Based Networks with Inter-scale Dependency Modeling
Melanoma, a dangerous type of skin cancer resulting from abnormal skin cell growth, can be treated if detected early. Various approaches using Fully... -
An Investigation of Different Deep Learning Pipelines for GABA-Edited MRS Reconstruction
Edited magnetic resonance spectroscopy (MRS) can provide localized information on gamma-aminobutyric acid (GABA) concentration in vivo. However,... -
Exploring the Transfer Learning Capabilities of CLIP in Domain Generalization for Diabetic Retinopathy
Diabetic Retinopathy (DR), a leading cause of vision impairment, requires early detection and treatment. Develo** robust AI models for DR... -
Sana Solo: An Intelligent Approach to Measure Soil Fertility
Worm castings (Worm Excretion) are one the richest natural fertilizers on earth, making earthworms a very important and applicable soil health... -
FAMID: False Alarms Mitigation in IoMT Devices
Wearable and Implantable Medical Devices (WIMDs) and Physiological Closed-loop Control Systems (PCLCS) are crucial elements in the advancing field of... -
EHR Security and Privacy Aspects: A Systematic Review
Electronic Health Records (EHRs) have become increasingly popular in recent years, providing a convenient way to store, manage and share relevant... -
Machine Learning-Based Multi-stratum Channel Coordinator for Resilient Internet of Space Things
Sensing and transferring data are critical and challenging tasks for space missions, especially in the presence of extreme environments. Unlike... -
ALBA: Novel Anomaly Location-Based Authentication in IoMT Environment Using Unsupervised ML
Smartphones have become essential components in the Internet of Medical Things (IoMT), providing convenient interfaces and advanced technology that... -
Simulated Annealing Based Area Optimization of Multilayer Perceptron Hardware for IoT Edge Devices
The deployment of highly parameterized Neural Network (NN) models on resource-constrained hardware platforms such as IoT edge devices is a... -
VXorPUF: A Vedic Principles - Based Hybrid XOR Arbiter PUF for Robust Security in IoMT
The Internet of Medical Things (IoMT) is playing a pivotal role in the healthcare sector by allowing faster and more informed hospital care,...