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Signatureless Anomalous Behavior Detection in Information Systems
The early detection of cyber threats with cyber-attacks adapted to the nature of information systems is a crucial cybersecurity problem. This problem...
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Spatiotemporal Data Analysis: A Review of Techniques, Applications, and Emerging Challenges
In recent years, spatiotemporal data has continued to proliferate with the development of data collecting technologies such as the Global Positioning...
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The Art of the Deal: Machine Learning Based Trade Promotion Evaluation
Trade promotions are complex marketing agreements between a retailer and a manufacturer aiming to drive up sales. The retailer proposes numerous...
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Fault-Tolerant Quantum Machine Learning
Here, we focus on more traditional approaches to quantum machine learning which try to speed up classical routines by making use of fault-tolerant...
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Air Pollution Forecasting Using Deep Learning Algorithms: A Review
The emissions from vehicles and factory exhaust and other forms of pollution have caused severe damage to the environment and to people’s health as...
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A Regression Analysis of iPhone 11 Pricing Factors
In today’s competitive market, consumers are always looking for the best deals and discounts before purchasing expensive products such as the iPhone...
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Data-Driven Feasibility for the Resource Constrained Shortest Path Problem
Resource Constrained Shortest Path Problems (RCSPP) have wide applicability, representing a flexible model for network applications. Furthermore,...
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Modeling and analysis of switching max-plus linear systems with discrete-event feedback
Switching max-plus linear system (SMPLS) models are an apt formalism for performance analysis of discrete-event systems. SMPLS analysis is more...
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Advanced Analytics for Rock Breaking
Rock-breaking processes, including drilling and blasting, are the most economical techniques to achieve rock fragmentation in mines and quarries. The...
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Multimodal Deep Learning
Multimodal deep learning has gained significant attention and shown great promise in various domains, including medical, manufacturing, Internet of...
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Inertial Proximal ADMM for Separable Multi-Block Convex Optimizations and Compressive Affine Phase Retrieval
Separable multi-block convex optimization problem appears in many mathematical and engineering fields. In the first part of this paper, we propose an...
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Enhancing cut selection through reinforcement learning
With the rapid development of artificial intelligence in recent years, applying various learning techniques to solve mixed-integer linear programming...
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RevCode for NLP in Indian Languages
India is a country of diverse languages and culture. Indian language scripts also vary based on the language. For instance, languages like Hindi and...
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Analysis on Various Feature Extraction Methods for Medical Image Classification
Soft Computing is an emerging technique of machine intelligence that includes methods like Neural Networks, Fuzzy Logic, Support Vector Machines and...
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Statistical Approaches for Forecasting Air pollution: A Review
With the rapid growth of energy consumption, acceleration of industrialization and urbanization, and the emission of automobile and industrial...
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A discontinuous derivative-free optimization framework for multi-enterprise supply chain
Supply chain simulation models are widely used for assessing supply chain performance and analyzing supply chain decisions. In combination with...
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On Reproducing Kernel Banach Spaces: Generic Definitions and Unified Framework of Constructions
Recently, there has been emerging interest in constructing reproducing kernel Banach spaces (RKBS) for applied and theoretical purposes such as...
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Bipolar Fuzzy Circuits
In this chapter, we discuss the notions of bipolar fuzzy rank function, bipolar fuzzy vector spaces, bipolar fuzzy basis, bipolar fuzzy matroids,...
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Finite basis physics-informed neural networks (FBPINNs): a scalable domain decomposition approach for solving differential equations
Recently, physics-informed neural networks (PINNs) have offered a powerful new paradigm for solving problems relating to differential equations....