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Bayesian Inferences of Fatigue-related Influences
The “industrial miracle” of Japan began in the mid-twentieth century. Much of the Japanese success has been ascribed to their management personnel’s...
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A systematic review of deep learning-based cervical cytology screening: from cell identification to whole slide image analysis
Cervical cancer is one of the most common cancers in daily life. Early detection and diagnosis can effectively help facilitate subsequent clinical...
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Non-blind and Blind Deconvolution Under Poisson Noise Using Fractional-Order Total Variation
In a wide range of applications such as astronomy, biology, and medical imaging, acquired data are usually corrupted by Poisson noise and blurring...
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An exhaustive review of computational prediction techniques for PPI sites, protein locations, and protein functions
The field of proteomics encompasses a comprehensive examination of proteins, encompassing their structural properties, interactions with other...
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A state-of-the-art survey of object detection techniques in microorganism image analysis: from classical methods to deep learning approaches
Microorganisms play a vital role in human life. Therefore, microorganism detection is of great significance to human beings. However, the traditional...
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Trojan awakener: detecting dormant malicious hardware using laser logic state imaging (extended version)
The threat of (HTs) and their detection is a widely studied field. While the effort for inserting a Trojan into an (ASIC) can be considered...
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A Novel Lightweight Deep Learning-Based Histopathological Image Classification Model for IoMT
The unavailability of appropriate mechanisms for timely detection of diseases and successive treatment causes the death of a large number of people...
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Molecular docking-based computational platform for high-throughput virtual screening
Structure-based virtual screening is a key, routine computational method in computer-aided drug design. Such screening can be used to identify...
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Detection and Identification Technologies for CBRN Agents
This chapter provides an overview of available technologies for the detection and identification of agents released (alone or in mixtures), at the...
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Advancements in hybrid approaches for brain tumor segmentation in MRI: a comprehensive review of machine learning and deep learning techniques
Magnetic resonance imaging (MRI) brain tumour segmentation is essential for the diagnosis, planning, and follow-up of patients with brain tumours. In...
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Extracting Landscape Features from Single Particle Trajectories
The predictive power of dynamical models of cell signaling is often limited due to the difficulty in estimating the relevant kinetic parameters....
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Sensor Design
Multiple sensors are applied in haptic devices designs. Even if they are not closed-loop controlled in a narrow sense of force or torque generation,...
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Skin cancer detection and classification based on differential analyzer algorithm
Skin cancer is one of the world’s scariest diseases, having taken the lives of thousands of people. It can be treated if diagnosed at the right time....
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Image Acquisition Devices
Image acquisition is achieved with the help of certain equipment, such as camera. The equipment converts objective scenes into images that can be...
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Automation in plant pathology: Optimized Attentional Capsule_BiLSTM optimized with chaotic sparrow algorithm for colour feature-based plant disease detection
Agriculture is considered as the backbone of Indian economy. However, the growth of agricultural production is affected by varied types of plant...
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Raman spectra evidence for the covalent-like quasi-bonding between exfoliated MoS2 and Au films
Gold-enhanced mechanical exfoliation method attracts broad interests in recent years, which has been widely used for preparing large-area and...
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Information Limits of Optical Microscopy: Application to Fluorescent Labelled Tissue Section
The article demonstrates some less known principles of image build-up in diffractive microscopy and their usage in analysis unravelling the smallest...
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Review of compact computational spectral information acquisition systems
With the development of computer science, more and more hardware implementations can be reproduced by software programming, bringing compact, cheap,...
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Computational Modeling in Virus Infections and Virtual Screening, Docking, and Molecular Dynamics in Drug Design
Computer modeling is an area of broad multidisciplinary knowledge that includes the study of various biological systems. This chapter will describe...
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ADMM-Based Residual Whiteness Principle for Automatic Parameter Selection in Single Image Super-Resolution Problems
We propose an automatic parameter selection strategy for the single image super-resolution problem for images corrupted by blur and additive white...
