Extracting large amounts of information and knowledge from a large database is a trivial task. Existing bulk item mining algorithms for an extensive database are systematic and mathematically expensive and cannot be u...
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In a number of industries, including computer graphics, robotics, and medical imaging, three-dimensional reconstruction is essential. In this research, a CNN-based Multi-output and Multi-Task Regressor with deep learn...
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Emotion Recognition in Conversations(ERC)is fundamental in creating emotionally ***-BasedNetwork(GBN)models have gained popularity in detecting conversational contexts for ERC ***,their limited ability to collect and ...
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Emotion Recognition in Conversations(ERC)is fundamental in creating emotionally ***-BasedNetwork(GBN)models have gained popularity in detecting conversational contexts for ERC ***,their limited ability to collect and acquire contextual information hinders their *** propose a Text Augmentation-based computational model for recognizing emotions using transformers(TA-MERT)to address *** proposed model uses the Multimodal Emotion Lines Dataset(MELD),which ensures a balanced representation for recognizing human *** used text augmentation techniques to producemore training data,improving the proposed model’s *** encoders train the deep neural network(DNN)model,especially Bidirectional Encoder(BE)representations that capture both forward and backward contextual *** integration improves the accuracy and robustness of the proposed ***,we present a method for balancing the training dataset by creating enhanced samples from the original *** balancing the dataset across all emotion categories,we can lessen the adverse effects of data imbalance on the accuracy of the proposed *** results on the MELD dataset show that TA-MERT outperforms earlier methods,achieving a weighted F1 score of 62.60%and an accuracy of 64.36%.Overall,the proposed TA-MERT model solves the GBN models’weaknesses in obtaining contextual data for ***-MERT model recognizes human emotions more accurately by employing text augmentation and transformer-based *** balanced dataset and the additional training samples also enhance its *** findings highlight the significance of transformer-based approaches for special emotion recognition in conversations.
作者：
Narasimhayya, B.E.Lanke, Ravikumar
Faculty of Engineering and Technology Department of Computer Science and Engineering Bangalore India
The development of short-range communication protocols has been essential for efficient device discovery. Short-range communication allows two devices to communicate over short distances, typically up to 10 meters, us...
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Dynamic area coverage with small unmanned aerial vehicle(UAV)systems is one of the major research topics due to limited payloads and the difficulty of decentralized decision-making *** behavior of a group of UAVs in a...
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Dynamic area coverage with small unmanned aerial vehicle(UAV)systems is one of the major research topics due to limited payloads and the difficulty of decentralized decision-making *** behavior of a group of UAVs in an unknown environment is another hard problem to be *** this paper,we propose a method for decentralized execution of multi-UAVs for dynamic area coverage *** proposed decentralized decision-making dynamic area coverage(DDMDAC)method utilizes reinforcement learning(RL)where each UAV is represented by an intelligent agent that learns policies to create collaborative behaviors in partially observable *** agents increase their global observations by gathering information about the environment by connecting with other *** connectivity provides a consensus for the decision-making process,while each agent takes *** each step,agents acquire all reachable agents’states,determine the optimum location for maximal area coverage and receive reward using the covered rate on the target area,*** method was tested in a multi-agent actor-critic simulation *** the study,it has been considered that each UAV has a certain communication distance as in real *** results show that UAVs with limited communication distance can act jointly in the target area and can successfully cover the area without guidance from the central command unit.
作者：
Mathur, AshwiniBabu, S. Anantha
Faculty of Engineering and Technology Department of Computer Science and Engineering Bangalore India
An Internet of Things (IoT) appears to be an innovative technology with great potential for widespread development. There has been a rise in data security issues in recent years as a consequence of various technologic...
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American Sign Language (ASL) recognition aims to recognize hand gestures, and it is a crucial solution to communicating between the deaf community and hearing people. However, existing sign language recognition algori...
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作者：
Karthikeyan, S.Thomas, Merin
Faculty of Engineering and Technology Department of Computer Science and Engineering Bangalore India
The recent advancements in mobile computing have opened up the possibilities of decentralized data recovery in mobile grid computing. With the help of improved Red (Recovery of Erased Data) technique, data recovery ca...
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Reducing gaps in digital divide among urban and remote user communities with rapid expansion of broadband telecommunication networks is a vital part of sustainable development. Remote communities are identified as pot...
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Typically, AC-DC converters are modeled in two-dimensional space using the dq-coordinates, assuming they are supplied by a balanced three-phase system. However, this space vector model struggles to accurately represen...
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