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- research-articleJanuary 2024
Combining Counterfactual Regret Minimization With Information Gain to Solve Extensive Games With Unknown Environments
Counterfactual regret minimization (CFR) is an effective algorithm for solving extensive-form games with imperfect information (IIEGs). However, CFR is only allowed to be applied in known environments, where the transition function of the chance player ...
- research-articleJanuary 2024
Two-View Image Semantic Cooperative Nonorthogonal Transmission in Distributed Edge Networks
With the wide application of deep learning (DL) across various fields, deep joint source–channel coding (DeepJSCC) schemes have emerged as a new coding approach for image transmission. Compared with traditional separated source and CC (SSCC) schemes, ...
- research-articleJanuary 2024
A Grey Prediction-Based Reproduction Strategy for Many-Objective Evolutionary Algorithm
International Journal of Intelligent Systems (IJIS), Volume 2024https://doi.org/10.1155/2024/8994938Many-objective evolutionary algorithms (MaOEAs) consisted of environmental selection and reproduction operator. However, few studies focus on how to design reproduction operators to improve the performance of MaOEAs. In this paper, a reproduction operator ...
- research-articleJanuary 2024
A Novel Self-Attention Transfer Adaptive Learning Approach for Brain Tumor Categorization
International Journal of Intelligent Systems (IJIS), Volume 2024https://doi.org/10.1155/2024/8873986Brain tumors cause death to a lot of people globally. Brain tumor disease is seen as one of the most lethal diseases since its mortality rate is high. Nevertheless, this rate can be diminished if the disease is identified and treated early. Recently, ...
- research-articleJanuary 2024
An Effective Approach for Resource-Constrained Edge Devices in Federated Learning
International Journal of Intelligent Systems (IJIS), Volume 2024https://doi.org/10.1155/2024/8860376Federated learning (FL) is a novel approach to privacy-preserving machine learning, enabling remote devices to collaborate on model training without exchanging data among clients. However, it faces several challenges, including limited client-side ...
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- research-articleJanuary 2024
FlowCorrGCN: Enhancing Flow Correlation Through Graph Convolutional Networks and Triplet Networks
International Journal of Intelligent Systems (IJIS), Volume 2024https://doi.org/10.1155/2024/8823511Anonymous network tracing is a significant research subject in the field of network security, and flow correlation technology serves as a fundamental technique for deanonymizing network traffic. Existing flow correlation techniques are considered ...
- research-articleJanuary 2024
ASCF: Optimization of the Apriori Algorithm Using Spark-Based Cuckoo Filter Structure
International Journal of Intelligent Systems (IJIS), Volume 2024https://doi.org/10.1155/2024/8781318Data mining is the process used for extracting hidden patterns from large databases using a variety of techniques. For example, in supermarkets, we can discover the items that are often purchased together and that are hidden within the data. This helps ...
- research-articleJanuary 2024
AI-Driven Digital Twin Model for Reliable Lithium-Ion Battery Discharge Capacity Predictions
- Gennaro Vessio,
- Pranav Nair,
- Vinay Vakharia,
- Milind Shah,
- Yogesh Kumar,
- Marcin Woźniak,
- Jana Shafi,
- Muhammad Fazal Ijaz
International Journal of Intelligent Systems (IJIS), Volume 2024https://doi.org/10.1155/2024/8185044The present study proposes a novel method for predicting the discharge capabilities of lithium-ion (Li-ion) batteries using a digital twin model in practice. By combining cutting-edge machine learning techniques, such as AdaBoost and long short-term ...
- research-articleJanuary 2024
Harnessing Deep Learning for Meteorological Drought Forecasts in the Northern Cape, South Africa
International Journal of Intelligent Systems (IJIS), Volume 2024https://doi.org/10.1155/2024/7562587The National Disaster Management Center has declared a drought disaster in the Northern Cape, South Africa, due to persistent dry conditions that impact regions such as the Western, Eastern, and Northern Cape provinces. Accurate drought predictions are ...
- research-articleJanuary 2024
Security Analysis of Large Language Models on API Misuse Programming Repair
International Journal of Intelligent Systems (IJIS), Volume 2024https://doi.org/10.1155/2024/7135765Application programming interface (API) misuse refers to misconceptions or carelessness in the anticipated usage of APIs, threatening the software system’s security. Moreover, API misuses demonstrate significant concealment and are challenging to uncover. ...
- research-articleJanuary 2024
K-Means Centroids Initialization Based on Differentiation Between Instances Attributes
- Stefano Cirillo,
- Ali Akbar Khan,
- Muhammad Salman Bashir,
- Asma Batool,
- Muhammad Summair Raza,
- Muhammad Adnan Bashir
International Journal of Intelligent Systems (IJIS), Volume 2024https://doi.org/10.1155/2024/7086878The conventional K-Means clustering algorithm is widely used for grouping similar data points by initially selecting random centroids. However, the accuracy of clustering results is significantly influenced by the initial centroid selection. Despite ...
- research-articleJanuary 2024
Joint Power Control and Resource Allocation With Task Offloading for Collaborative Device-Edge-Cloud Computing Systems
International Journal of Intelligent Systems (IJIS), Volume 2024https://doi.org/10.1155/2024/6852701Collaborative edge and cloud computing is a promising computing paradigm for reducing the task response delay and energy consumption of devices. In this paper, we aim to jointly optimize task offloading strategy, power control for devices, and resource ...
- research-articleJanuary 2024
Parameter Control Framework for Multiobjective Evolutionary Computation Based on Deep Reinforcement Learning
International Journal of Intelligent Systems (IJIS), Volume 2024https://doi.org/10.1155/2024/6740701To address the challenge of parameter adjustment in complex environments, this paper introduces a transfer learning-based parameter control framework via deep reinforcement learning for multiobjective evolutionary algorithms (MOEAs). To avoid the ...
- research-articleJanuary 2024
Bayes-Decisive Linear KNN with Adaptive Nearest Neighbors
International Journal of Intelligent Systems (IJIS), Volume 2024https://doi.org/10.1155/2024/6664942While the classical KNN (k nearest neighbor) shares its avoidance of the consistent distribution assumption between training and testing samples to achieve fast prediction, it still faces two challenges: (a) its generalization ability heavily depends on ...
- research-articleJanuary 2024
An Improved Particle Swarm Optimization Method for Nonlinear Optimization
- Eugenio Vocaturo,
- Shiwei Liu,
- Xia Hua,
- Longxiang Shan,
- Dongqiao Wang,
- Yong Liu,
- Qiaohua Wang,
- Yanhua Sun,
- Lingsong He
International Journal of Intelligent Systems (IJIS), Volume 2024https://doi.org/10.1155/2024/6628110Nonlinear optimization is becoming more challenging in information sciences and various industrial applications, but nonlinear problems solved by the classical particle swarm-based methods are usually characterized by low efficiency, accuracy, and ...
- research-articleJanuary 2024
A Manifold-Guided Gravitational Search Algorithm for High-Dimensional Global Optimization Problems
International Journal of Intelligent Systems (IJIS), Volume 2024https://doi.org/10.1155/2024/5806437Gravitational Search Algorithm (GSA) is a well-known physics-based meta-heuristic algorithm inspired by Newton’s law of universal gravitation and performs well in solving optimization problems. However, when solving high-dimensional optimization problems, ...
- research-articleJanuary 2024
Constructing Perturbation Matrices of Prototypes for Enhancing the Performance of Fuzzy Decoding Mechanism
International Journal of Intelligent Systems (IJIS), Volume 2024https://doi.org/10.1155/2024/5780186Granular computing (GrC) embraces a spectrum of concepts, methodologies, methods, and applications, which dwells upon information granules and their processing. Fuzzy C-means (FCM) based encoding and decoding (granulation-degranulation) mechanism plays a ...
- research-articleJanuary 2024
Fixed-Time Stable Gradient Flows for Optimal Adaptive Control of Continuous-Time Nonlinear Systems
- Subrata Kumar Sarker,
- Mahdi Niroomand,
- Reihaneh Kardehi Moghaddam,
- Hamidreza Modares,
- Mohammad-Bagher Naghibi Sistani
International Journal of Intelligent Systems (IJIS), Volume 2024https://doi.org/10.1155/2024/5241035This paper introduces an inclusive class of fixed-time stable continuous-time gradient flows (GFs). This class of GFs is then leveraged to learn optimal control solutions for nonlinear systems in fixed time. It is shown that the presented GF guarantees ...
- research-articleJanuary 2024
Tripartite Evolutionary Game Analysis of a Logistics Service Supply Chain Cooperation Mechanism for Network Freight Platforms
International Journal of Intelligent Systems (IJIS), Volume 2024https://doi.org/10.1155/2024/4820877The rapid development of network freight platforms has directly increased the level of social logistics resource collaboration and improved both the efficiency and quality of logistics industry services. As a bilateral platform that connects freight ...
- research-articleJanuary 2024
LsAc∗-MJ: A Low-Resource Consumption Reinforcement Learning Model for Mahjong Game
International Journal of Intelligent Systems (IJIS), Volume 2024https://doi.org/10.1155/2024/4558614This article proposes a novel Mahjong game model, LsAc∗-MJ, designed to address challenges posed by data scarcity, difficulty in leveraging contextual information, and the computational resource-intensive nature of self-play zero-shot learning. The model ...