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2581
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2582
Replacing Backpropagation with the Forward-Forward (FF) Algorithm in Transformer Models: A Theoretical and Empirical Study on Scalable and Efficient Gradient-Free Training
Published 2025-01-01“…This study proposes a novel integration of the Forward-Forward (FF) algorithm into Transformer architectures as an efficient and gradient-free alternative to Backpropagation (BP). …”
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2583
A Tuning Method for Speed Tracking Controller Parameters of Autonomous Vehicles
Published 2024-11-01“…This paper addresses the challenge of speed tracking by proposing a genetic algorithm-based optimization method for PID controller parameters. …”
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2584
Hyperparameter Optimization for Problem-Based Custom CNN Architectures Using a Smart Grid Search Method
Published 2025-01-01“…To classify the ripe and unripe pistachios with a small-sized and high test accuracy model, a two-layer CNN architecture’s hyperparameters were optimized with the proposed algorithm. The implementation of the proposed algorithm took 14 hours and 17 minutes, and the algorithm calculated 173 different CNN architectures with different parameters. …”
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2585
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2586
Optimization of a macro-algae-based biodiesel supply chain: a multi-objective approach
Published 2025-04-01“…The main contribution lies in developing a multi-objective optimization model that minimizes supply chain costs and environmental impacts while addressing critical factors such as transportation logistics, facility placement and the impact of advertising on biodiesel demand. …”
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2587
A voice-based algorithm can predict type 2 diabetes status in USA adults: Findings from the Colive Voice study.
Published 2024-12-01“…This study investigates the potential of using a voice-based algorithm to predict T2D status in adults, as the first step towards developing a non-invasive and scalable screening method. …”
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2588
Fractional-Order System Identification: Efficient Reduced-Order Modeling with Particle Swarm Optimization and AI-Based Algorithms for Edge Computing Applications
Published 2025-04-01“…These optimized parameters then serve as training data for several AI-based algorithms—including neural networks, support vector regression (SVR), and extreme gradient boosting (XGBoost)—to evaluate their inference speed and accuracy. …”
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2589
Streamlining referrals by establishing a UAE-specific referral algorithm for CVD patients with overlapping COPD: a collaborative effort by cardiologists and pulmonologists
Published 2025-06-01“…The task force has proposed an algorithm to expedite the referral of CVD patients suspected of COPD from cardiology to pulmonology.ConclusionImplementing this referral algorithm across all cardiology departments in the UAE can facilitate the diagnosis of COPD in CVD patients, allow timely treatment of COPD, and improve patient outcomes.…”
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2590
Kinematic analysis of wire stripping for distribution robots based on wire stripping and cutting force control algorithm under cylindrical gear transmission
Published 2025-03-01“…Meanwhile, the impedance force error curve of the research method was more stable, while the general impedance force error curve fluctuated greatly. …”
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2591
A requirements model for AI algorithms in functional safety-critical systems with an explainable self-enforcing network from a developer perspective
Published 2024-01-01“…This trend is further intensified by the fact that AI-based algorithms are finding their way into safety-related systems or will do so in the future. …”
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2592
Optimizing Pile Bearing Capacity Prediction Using Specific Random Forest Models Optimized by Meta-Heuristic Algorithms for Enhanced Geomechanically Applications
Published 2023-12-01“…The effective incorporation of meta-heuristic algorithms establishes a strong basis for significantly enhancing the accuracy and effectiveness of PBC estimation. …”
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2593
Attack resilient IoT security framework using multi head attention based representation learning with improved white shark optimization algorithm
Published 2025-04-01“…Abstract At present, the internet of things (IoT) plays a vital part in the growth of programmed electrical power stations while presenting magnificent chances, particularly cybersecurity. …”
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2594
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2595
A Novel Algorithm for a Low-Cost, Curvature-Continuous Smooth Path with Multiple Constraints on a Cost-Assigned Flat Map
Published 2025-05-01“…The method is divided into two stages: In the first stage, the graph structure is constructed by generating points on the map, and uses Dijkstra’s Algorithm to obtain the connection order of the landmark points. …”
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2596
Optimizing Pharmaceutical Inventory and Investment Strategies During Pandemics: A Dynamic Approach Integrating Environmental Emission Rates and Advanced Optimization Algorithms
Published 2025-01-01“…Advanced optimization algorithms, including Ant Colony and Cuckoo Search, determine optimal pricing, investment costs, and replenishment schedules. …”
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2597
HiGMA-DADCN: Hirudinaria granulosa multitropic algorithm optimised double attention enabled deep convolutional neural network for psoriasis classification
Published 2025-12-01“…The HiGMA algorithm plays a crucial role in identifying and extracting the most relevant regions of affected skin through optimal segmentation. …”
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2598
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2599
An Improved Marriage in Honey-Bee Optimization Algorithm for Minimizing Earliness/Tardiness Penalties in Single-Machine Scheduling with a Restrictive Common Due Date
Published 2025-01-01“…This study evaluates the efficiency of a swarm intelligence algorithm called marriage in honey-bee optimization (MBO) in solving the single-machine weighted earliness/tardiness problem, a type of NP-hard combinatorial optimization problem. …”
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2600
Landslides in the Himalayas: The Role of Conditioning Factors and Their Resolution in Susceptibility Mapping
Published 2025-04-01“…Sixteen factors, encompassing topography, hydrology, geology, and anthropogenic activities, were analyzed alongside a landslide inventory of 159 occurrences compiled from satellite imagery, the literature, and field surveys. A genetic algorithm (GA) was employed to determine the optimal set of conditioning factors, while Maximum Entropy (Maxent) modeling produced landslide susceptibility maps (LSM) at spatial resolutions ranging between 12.5 and 200 m. …”
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