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Results in Control and Optimization
Scopus
ISSN 2666-7207 · Elsevier · 633 artikel di indeks
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Artikel Jurnal
An intelligent control strategy for UAVs using adaptive Type-3 fuzzy logic with real-time uncertainty bounds and parallel auxiliary compensation
This paper presents a novel intelligent control strategy for Unmanned Aerial Vehicles (UAVs) using Type-3 fuzzy-logic systems (T3-FLSs). UAVs are widely adopted in diverse fields due to their efficiency and versatility; however, they face significant control challenges under uncertain dynamics and…
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Artikel Jurnal
XAI-ColoSegRec: An explainable optimization-guided deep learning framework for colorectal lesion segmentation and morphology-based clinical decision support
Colorectal lesion segmentation is central to computer-aided colonoscopy, yet many deep-learning systems terminate at mask generation without providing interpretable evidence or clinically usable decision support. This study proposes XAI-ColoSegRec, a six-stage optimization-guided framework…
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Optimization of Thermodynamic Irreversibility in Non-Newtonian Hybrid Nanofluids over a Radially Stretching Disk Using Artificial Neural Networks
The persistent generation of thermodynamic irreversibility during the transport of non-Newtonian fluids over stretching surfaces limits the thermal efficiency of advanced energy and engineering systems. This challenge becomes more pronounced in hybrid nanofluids, where the simultaneous effects of…
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Optimal educational intervention strategies for cognitive learning dynamics
In this study, a compartmental mathematical model describing learning dynamics within a large educational population is proposed based on concepts inspired by educational neuroscience. The model incorporates key cognitive processes, including working memory, long-term memory consolidation…
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Pygmy hippopotamus optimization algorithm (PHOA): A bio-inspired metaheuristic under ablation and benchmark controls with a large language model phase controller
A new metaheuristic is credited with the gain it reports, and a language model attached to one with the gain that follows. Neither can be examined without a control, and this article builds four. The controls are an origin translation that moves the optimum off the origin, a budget-matched ablation…
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Stochastic modeling and metaheuristic optimization of finite-capacity queueing systems with working vacation interruptions and synchronized abandonment
The current study introduces a novel optimization framework for finite-capacity queueing systems that simultaneously incorporates synchronized customer abandonment, working vacation, and vacation interruptions within a Markovian stochastic environment. The proposed model captures realistic service…
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Adaptive second-order sliding mode control for robust synchronization of multi-agent robotic systems
A robust synchronization of a cooperative multi agent system (MAS) for a motion control purpose presents the main interest of this paper. The studied synchronization is based on the adaptive high order sliding mode control (SMC) combined with the cross coupling concept, in order to guarantee an…
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Artikel Jurnal
Optimally tuned virtual synchronous generator-based hybrid SMES-RFB energy storage system for enhanced frequency control in an isolated microgrid
This paper focuses on the frequency regulation issues in an isolated microgrid due to low system inertia and renewable power fluctuations. An improved Load Frequency Control (LFC) strategy is suggested using a Virtual Synchronous Generator (VSG)-based hybrid energy storage system integrating…
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EMA-Transformer: A hybrid evolutionary framework for systematic feature optimization in EVs SoC estimation
Accurate State of Charge (SoC) estimation is critical for efficient energy management and reliable range prediction in Electric Vehicles (EVs). However, relying on high-dimensional BMS sensor data introduces signal redundancy and stochastic noise, limiting estimation accuracy while imposing…
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Artikel Jurnal
Event-triggered robust bipartite consensus of multi-agent systems under input saturation over directed signed graphs
The goal of developing a consensus protocol for multi-agent systems (MASs) such that the states of all the agents match both in magnitudes and signs is a fundamental challenge in collaborative control theory. Bipartite consensus is an advanced and challenging problem, in which the goal is to devise…
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Artikel Jurnal
Demand-responsive optimization of blood allocation under perishability and import constraints
Blood shortages remain a global challenge due to donor scarcity, seasonal fluctuations, demographic influences, and the perishability of blood products. Existing models often fail to address these gaps, leading to inefficiencies such as oversupply, wastage, and reliance on emergency imports. This…
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A hybrid global algorithm for linear plus linear fractional programs
The linear plus linear fractional (LPLF) problem is an important non-convex optimization model with applications in economics, engineering, and resource allocation. This paper introduces a globally convergent algorithm for the general LPLF problem. We first show that the problem can be reformulated…
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Optimizing neural networks via Hilfer–Katugampola fractional derivatives: A theoretical and experimental study
This paper proposes a novel hybrid optimization approach designed to improve convergence efficiency and model performance in classification tasks. For the purpose of improving stability and ensuring fast learning in the training process, complementary optimization approaches have been adopted…
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Multi-scale patch embedding and distribution-aware transformer learning for explainable histopathology analysis
This study introduces Histo-AdaptiveViT, a model designed for patch-level multi-class histopathology classification, focusing on generating local evidence for pathology workflows rather than serving as a standalone diagnostic tool. It employs a three-stage CNN to create fine-, medium-, and…
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Artikel Jurnal
AI-Driven Framework for vector-borne disease surveillance and early warning
Vector-borne diseases, especially dengue fever, are a significant global public health issue. They account for 17% of infectious diseases and cause over 700,000 deaths each year. Current surveillance systems struggle with insufficient detail and slow response times, making it hard to predict…
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Artikel Jurnal
Neural-driven dynamic key generation: A deep reinforcement learning and topological mathematics based framework for secure file sharing
The growing prevalence of data breaches in digital communication and platforms necessitates advanced mechanisms to secure adaptive file exchange systems. Traditional file-sharing methods reliant on static keys face challenges in maintaining security and adaptability in dynamic environments, which…
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Artikel Jurnal
Analysis of a regeneration period of the diesel particulate filter using queueing model with correlated arrivals and phase-type service
This paper develops a queueing model for analyzing the regeneration period of a Diesel Particulate Filter (DPF) with the objective of providing a quantitative tool for optimal regeneration control. The system is modeled as a finite-capacity queue M A P / P H / 1 / K with Markovian arrival process (…
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Observability and exponential stabilization of a wave system with dynamic boundary mass under PMGC: A Carleman approach
This work investigates the exponential stability of waves propagating in an annular medium Ω , where the outer boundary Γ 1 is endowed with a significant mass density m > 0 , allowing it to resist changes in motion: if initially moving, it tends to continue moving, and if at rest, it tends to…
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A Digital Twin-Enabled Simulation Framework for Multi-Objective Optimization and Control of Risk-Aware, Low-Carbon, and Resilient Truck–Drone Routing
Modern last-mile routing systems require advanced control mechanisms to minimize environmental impacts while ensuring operational safety and structural resilience. Although hybrid truck–drone co-routing minimizes operational emissions, dense drone deployments induce high aerial risks, airspace…