This paper addresses the inefficiencies in human-computer interaction (HCI) within manned ground equipment interfaces, which stem from empirical and subjective design approaches that lead to suboptimal observation and...
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In recent days, the development of intelligent network management created significant advancements in the technologies to enable secure network services. Mainly Machine Learning (ML) algorithms focuses on real-time an...
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In order for robots to navigate through complex and ever-changing environments, avoid obstacles, and arrive at their destination as fast as possible, they require effective path planning algorithms. This paper discuss...
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Ships in ocean navigation are affected by wind, waves, currents, and surges, resulting in six degrees of freedom of movement, which can reduce the efficiency of offshore operations and endanger the safety of operators...
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This paper presents LightFusionRec, a novel lightweight cross-domain recommendation system that integrates DistilBERT for textual feature extraction and FastText for genre embedding. Important issues in recommendation...
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The use of deep learning algorithms for vehicle detection and speed estimate in traffic surveillance systems is investigated in this research study. Convolutional Neural Networks (CNNs) are the main tool used in this ...
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Predictive analytics by combining ensemble learning and deep learning techniques. The first step normalizes the feature space with MinMaxScaler, which improves the performance of the algorithms. To tackle class imbala...
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This work, which explores the performance of the existing five IoT sensor classification algorithms and develops five more algorithms, intends to later compare the obtained classification accuracies. In this evaluatio...
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This paper presents the novel hybrid encryption algorithm based on the combination of strength of Advanced Encryption Standard and Rivest Cipher 4. The substitution- permutation network of AES provides a strong basis ...
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This study proposes an optimized Fuzzy Logic Controller (FLC) as an Energy Management System (EMS) for Fuel Cell Electric Vehicles (FCEVs). The primary objective is to efficiently meet the power demand required for ve...
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