11,647 Result(s)
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Article
Sustainable multiple travelling salesman problem solved by reference point aspiration level based multi objective quasi oppositional Jaya algorithm under uncertain environment
Carbon emission varies from vehicle to vehicle, along with the route selected for travelling, curb weight, vehicle speed, etc., are uncertain. Considering appropriate routes and vehicles to reduce carbon emiss...
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Article
Adaptive Multi-Source Predictor for Zero-Shot Video Object Segmentation
Static and moving objects often occur in real-life videos. Most video object segmentation methods only focus on extracting and exploiting motion cues to perceive moving objects. Once faced with the frames of s...
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Article
Aspect category sentiment classification via document-level GAN and POS information
The purpose of aspect-category sentiment classification (ACSC) is to determine the sentiment polarity of the predefined aspect category from the texts. Current methods for ACSC have two main limitations. Since...
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UniMod1K: Towards a More Universal Large-Scale Dataset and Benchmark for Multi-modal Learning
The emergence of large-scale high-quality datasets has stimulated the rapid development of deep learning in recent years. However, most computer vision tasks focus on the visual modality only, resulting in a h...
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An expert method for defining the adaptation conditions of irrigated crops with the ecosystem of Northwestern China
The uncertain impacts of climate changes on the crop water requirements disarrange the on-farm balance of water supply and demand, thus here needs to adapt a crop** pattern to sustain the Northwestern China ...
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Learning Feature Restoration Transformer for Robust Dehazing Visual Object Tracking
In recent years, deep-learning-based visual object tracking has obtained promising results. However, a drastic performance drop is observed when transferring a pre-trained model to changing weather conditions,...
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From PARIS to LE-PARIS: toward patent response automation with recommender systems and collaborative large language models
In patent prosecution, timely and effective responses to Office Actions (OAs) are crucial for securing patents. However, past automation and artificial intelligence research have largely overlooked this aspect...
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A revolutionary RPL-based IoT routing protocol for monitoring building structural health in smart city domain utilizing equilibrium optimizer algorithm
The Internet of Things (IoT) has been the subject of recent studies and is expected to be extremely important to the future growth of the Internet. The essential component of the IoT is the low-power and lossy...
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Article
A new MCDM integrating fuzzy rough set and TOPSIS method
In this paper, by integrating the advantages of multi-granulation fuzzy rough set (MGFRS) and variable precision fuzzy rough set (VPFRS), we introduce a new model of multi-granulation granular variable precisi...
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A heuristic approach for bike-sharing system rebalancing problem with multiple time windows
In urban environments, the bicycle-sharing system (BSS) has emerged as a vital complement to public transportation, effectively bridging gaps in urban mobility. The successful operation of these systems is con...
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Article
The global Mittag-Leffler synchronization problem of Caputo fractional-order inertial memristive neural networks with time-varying delays
This paper investigates the global Mittag-Leffler synchronization problem of Caputo fractional-order inertial memristive neural networks with time-varying delays. First, the model of fractional-order inertial ...
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Article
Advanced backtracking search for solving continuous optimization problems
This paper recommends develo** advanced backtracking search (ABS) to use single- and multi-vector mutation strategies to effectively enhance the backtracking search algorithm in solving a variety of optimiza...
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Open AccessMany-Objective Whale Optimization Algorithm for Engineering Design and Large-Scale Many-Objective Optimization Problems
In this paper, a novel Many-Objective Whale Optimization Algorithm (MaOWOA) is proposed to overcome the challenges of large-scale many-objective optimization problems (LSMOPs) encountered in diverse fields suc...
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Article
Vagus nerve electrical stimulation in the recovery of upper limb motor functional impairment after ischemic stroke
Ischemic stroke (IS) is characterized by high mortality, disability rates, and a high risk of recurrence. Motor dysfunction, such as limb hemiparesis, dysphagia, auditory disorders, and speech disorders, usual...
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Article
Role of Artificial Intelligence Techniques and Neuroimaging Modalities in Detection of Parkinson’s Disease: A Systematic Review
Parkinson’s disease (PD), a neurodegenerative disorder, is caused due to the lack of dopamine neurotransmitters throughout the substantia nigra. Its diagnosis in the earlier stages is a very intricate process ...
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Open AccessHierarchical fuzzy regression functions for mixed predictors and an application to real estate price prediction
Categorical features appear in datasets from almost every practice area, including real estate datasets. One of the most critical handicaps of machine learning algorithms is that they are not designed to captu...
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Article
Learning Adaptive Spatio-Temporal Inference Transformer for Coarse-to-Fine Animal Visual Tracking: Algorithm and Benchmark
Advanced general visual object tracking models have been drastically developed with the access of large annotated datasets and progressive network architectures. However, a general tracker always suffers domai...
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Article
Open AccessEffectiveness assessment of recent large vision-language models
The advent of large vision-language models (LVLMs) represents a remarkable advance in the quest for artificial general intelligence. However, the models’ effectiveness in both specialized and general tasks war...
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An Empirical Study on Automated Test Generation Tools for Java: Effectiveness and Challenges
Automated test generation tools enable test automation and further alleviate the low efficiency caused by writing hand-crafted test cases. However, existing automated tools are not mature enough to be widely u...
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Article
Artificial Immune System of Secure Face Recognition Against Adversarial Attacks
Deep learning-based face recognition models are vulnerable to adversarial attacks. In contrast to general noises, the presence of imperceptible adversarial noises can lead to catastrophic errors in deep face r...
