System on-a-chip (SoC) achievement relies upon a very much planned, incorporated come nearer from a few disciplines, including application, plan, and gadget. From the viewpoint of the gadget, quick progressing VLSI in...
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This study explores multimodal fusion methods and deep learning architectures for visual question answering (VQA) systems in the healthcare domain. ResNet50, DenseNet, LSTM, and BiLSTM models were evaluated for image ...
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This paper reports a nonplanar passive wireless differential microsensor integrated with intravenous (IV) catheters of small diameters to facilitate in situ real-time monitoring of concentrations of drugs or other tar...
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The demand for adaptive learning in education is an important application for computer Vision (CV)-based detection models which extract learners' faces to classify engagement. However, a loss in visual data due to...
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In advanced technology nodes, the proliferation of process corners poses significant challenges in timing signoff, particularly in estimating wire-induced interconnect delay across process corners. This paper proposes...
This paper presents a novel low-cost capacitive nanogap microsensor for detection of hydrogen gas with a sub-50 ppm minimum detectable signal (MDS) and sub-second response time. The sensor operation relies on the clos...
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Robotic arms are increasingly being used in collaborative environments, requiring an accurate understanding of human intentions to ensure both effectiveness and safety. Electroencephalogram (EEG) signals, which measur...
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Accurately predicting the future motions of traffic agents is essential for autonomous systems. Despite the significant success of existing motion forecasting methods based on supervised learning, they still exhibit t...
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The goal of this project is to implement an Internet of Things (IoT)-based Agricultural Monitoring & Alert System (AMAS) that will integrate multiple sensors to continuously monitor agricultural parameters, such a...
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The diagnosis of brain tumors dominates the medical sector and great accuracy along with efficiency in their methods to detect the tumor is required. The ability to diagnose brain cancers from MRI data has been greatl...
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