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Disease Diagnosis in Grapevines – A Hybrid Resnet-Jaya Approach
Different diseases in grapevines have different kinds of effects on the various parts of the plant, the most drastic of such abnormalities easily...
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Generalised Pattern Search with Restarting Fitness Landscape Analysis
Fitness landscape analysis for optimisation is a technique that involves analysing black-box optimisation problems to extract pieces of information...
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Ensemble deep learning approach for early diagnosis of Alzheimer's disease
Effective Alzheimer's disease (AD) treatment is dependent on a timely and precise diagnosis. While ensemble learning (EL) has the potential to...
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Automated attention deficit classification system from multimodal physiological signals
Lack of attention, if it could not be taken care of and persists for a long time then may lead to a severe issue. Analysis of Electroencephalogram...
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MAA: multi-objective artificial algae algorithm for workflow scheduling in heterogeneous fog-cloud environment
With the development of current computing technology, workflow applications have become more important in a variety of fields, including research,...
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Unified Surface and Volumetric Inference on Functional Imaging Data
Surface-based analysis methods for functional imaging data have been shown to offer substantial benefits for the study of the human cortex, namely in...
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Eight years of AutoML: categorisation, review and trends
Knowledge extraction through machine learning techniques has been successfully applied in a large number of application domains. However, apart from...
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A neural builder for spatial subdivision hierarchies
Spatial data structures, such as k -d trees and bounding volume hierarchies, are extensively used in computer graphics for the acceleration of spatial...
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Multi-objective PID Controller Tuning for Multi-model Control of Nonlinear Systems
Multi-model approaches for non-linear control usually consist in partitioning the operating space of a given non-linear process, in such a way, it is...
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Current Trends in Learning from Data Streams
This article presents our recent work on the topic of learning from data streams. We focus on emerging topics, including fraud detection, learning...
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Diffusion Init: Stronger Initialisation of Decision-Based Black-Box Attacks for Visual Object Tracking
Adversarial attacks have emerged in the field of visual object tracking to mislead the tracker and result in its failure. Black-box attacks in...
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Prediction of Deposition Parameters in Manufacturing of Ni-Based Coating Using ANN
Qualities of coatings deposited by High-velocity oxy-fuel (HVOF) spray technique are sometimes greatly influenced by the deposition parameters. It is...
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Copyright protection of medical images: A view of the state-of-the-art research and current developments
Recently, copyright protection of medical images has been critical, and even small changes can endanger the life of a patient. To verify the...
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A General Model for Automated Algorithm Design
This chapter presents a newly defined novel combinatorial optimisation problem, namely, the General Combinatorial Optimisation Problem (GCOP), whose...
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Optimizing Sheep Breed Classification with Bat Algorithm-Tuned CNN Hyperparameters
Efficiently classifying sheep breeds through image analysis is pivotal in modern animal husbandry, influencing critical management and breeding...
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Detection and Tracking of Pinus Radiata Catkins
Pinus Radiata trees form pollen-producing catkins that can be harvested for pharmaceutical uses. Unmanned Aerial Vehicles (UAVs) may be well suited...
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Performance Analysis of Compiler Support for Parallel Evaluation of C++ Constant Expressions
Metaprogramming, the practice of writing programs that manipulate other programs at compile-time, continues to impact software development; enabling...
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Automatic generation of atomic multiplicity-preserving search operators for search-based model engineering
Recently, there has been increased interest in combining model-driven engineering and search-based software engineering. Such approaches use...
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Introduction
This preliminary chapter serves as the introduction to the book. I begin by delineating the goal: bridging the gap in machine learning literature for...
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Air Quality Index Prediction Using Support Vector Regression Based on African Buffalo Optimization
Support Vector Regression (SVR) is one of the machine learning models widely used in regression analysis. As an alternative for fitting a line to the...