This paper proposes the use of Multi-Agent Twin Delayed Deep Deterministic Policy Gradient (MATD3) to resolve the issues accompanied with Multi-Agent Deep Deterministic Policy Gradient (MADDPG) such as the overestimat...
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In order to solve the problems of long cycle and the difficulty of test, this paper proposes a method of power-in-the-loop motor simulator. Firstly, the topology of the motor simulator is proposed, composed of an inte...
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The paper examines applicability of a line of the narrow-band filters in analyzing the speech disorders. It describes a method for processing the speech signals using a line of the narrow-band filters and provides mat...
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When pest infestations damage plants and crops, it affects the country's agricultural output. In order to detect any signs of disease, farmers or specialists of ten keep a constant eye on the plants. However, this...
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Unlike traditional computing, soft computing solves difficult real-world problems and works with approximation models. Soft computing is more forgiving of approximations, ambiguity, partial truth, and imprecision than...
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This paper presents a novel approach to home automation utilizing the MQTT protocol. The system is implemented using an ESP32 node and a Node-RED server running on a Raspberry Pi, allowing users to control the system ...
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This paper addresses the need for automatic pain recognition in healthcare without relying on expert feature extraction from physiological signals. Instead, it introduces a deep learning approach that combines classif...
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This paper proposes the rotor speed control of oscillating water column (OWC) wave energy conversion system to achieve the maximum power point tracking (MPPT). The proportional-integral-derivative (PID) control scheme...
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Managing electrical Energy has become crucial nowadays where everything we use works on electrical energy. Utilizing energy in an efficient and effective way can save a lot of energy. Reducing unnecessary usage of ele...
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In recent times, there has been a growing trend of utilizing neural networks in the field of prediction engineering, particularly in the domain of solar radiation predictions. This particular research study delves int...
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