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The Hardest Hamiltonian Cycle Problem Instances: The Plateau of Yes and the Cliff of No
We use two evolutionary algorithms to make hard instances of the Hamiltonian cycle problem. Hardness (or ‘fitness’), is defined as the number of...
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Research on variational optical flow method for rockfall monitoring
Rockfall is a global mountain disaster problem, which has the characteristics of wide distribution, strong randomness, and inconspicuousness. The...
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A conjugate gradient algorithm based on double parameter scaled Broyden–Fletcher–Goldfarb–Shanno update for optimization problems and image restoration
In this paper, we present a three-term conjugate gradient algorithm and three approaches are used in the designed algorithm: (i) A modified weak...
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A Clustering Offloading Decision Method for Edge Computing Tasks Based on Deep Reinforcement Learning
In many IoT scenarios, the resources of terminal devices are limited, and it is difficult to provide services with low latency and low energy...
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Performance and Memory
In their groundbreaking book Refactoring, Fowler and Beck tell a story of a slow performing system. All the experts gathered around to give their...
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Simulated Annealing is a Polynomial-Time Approximation Scheme for the Minimum Spanning Tree Problem
We prove that Simulated Annealing with an appropriate cooling schedule computes arbitrarily tight constant-factor approximations to the minimum...
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PMNet: a multi-branch and multi-scale semantic segmentation approach to water extraction from high-resolution remote sensing images with edge-cloud computing
In the field of remote sensing image interpretation, automatically extracting water body information from high-resolution images is a key task....
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Perspective and the Self in Experiential Attitude Reports
It is often assumed that self-directedness (i.e. de se-ness) and first-person perspective (1pp) can be jointly captured through individual centers...
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Crime linkage and psychological profiling of offenders under intuitionistic fuzzy environment using a novel resemblance measure
Crime is a significant issue in society, with the causes of crime needing more attention and action from social, governmental, and judicial entities....
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The Horizon for AI in Our Society
In this section, I will check some of the current trends in technology and estimate how they can possibly impact society.
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Uniformly constrained reinforcement learning
We propose new multi-objective reinforcement learning algorithms that aim to find a globally Pareto-optimal deterministic policy that uniformly (in...
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Insights into aerial intelligence: assessing CNN-based algorithms for human action recognition and object detection in diverse environments
Today’s era follows a data-driven decision process for large-scale environment analysis. Aerial view-based decision process plays a key role in...
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Federated learning-based AI approaches in smart healthcare: concepts, taxonomies, challenges and open issues
Federated Learning (FL), Artificial Intelligence (AI), and Explainable Artificial Intelligence (XAI) are the most trending and exciting technology in...
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CSADE: a delay-sensitive scheduling method based on task admission and delay evaluation on edge–cloud collaboration
Compared with cloud computing, edge–cloud collaboration can avoid long transmitting delay to cloud since tasks are close to edge, which makes...
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Delay Constrained SFC Orchestration for Edge Intelligence-Enabled IIoT: A DRL Approach
The intelligent edge has accelerated the Internet of Things (IoT) revolution towards next-generation operational efficiency and massive connectivity....
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Enhanced Scene Interpretation and Perception Through 3D Virtual Thermal Imaging
Thermal imaging is a widely used technique in several real-world applications in which a clear view of an object or scene is required, and...
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Segmentation of shoulder muscle MRI using a new Region and Edge based Deep Auto-Encoder
Automatic segmentation of shoulder muscle MRI is challenging due to the high variation in muscle size, shape, texture, and spatial position of tears....
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An approach for discovery and scheduling replaceable service on edge environment
In an edge computing environment, in order to provide highly accessible services and computing resources to nearby users, edge servers are usually...
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Dai–Liao extensions of a descent hybrid nonlinear conjugate gradient method with application in signal processing
Recently, Jian, Han and Jiang proposed a descent hybrid conjugate gradient method which is globally convergent without convexity assumption on the...
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Knowledge Oriented Strategies: Dedicated Rule Engine
Graph neural networks (GNNs) are playing exciting roles in the application scenarios where features are hidden in information associations. Fraud...