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Titlebook: Micro-Electronics and Telecommunication Engineering; Proceedings of 7th I Devendra Kumar Sharma,Sheng-Lung Peng,Gwanggil Jeo Conference pro

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樓主: 戰(zhàn)神
51#
發(fā)表于 2025-3-30 12:10:03 | 只看該作者
52#
發(fā)表于 2025-3-30 16:26:23 | 只看該作者
OpenFace Tracker and GoogleNet: To Track and Detect Emotional States for People with Asperger Syndrocclusion and illumination changes. The emotions were classified as fear, disgust, joy, anticipation, and sadness. The proposed model implements a modified version of the well-known and wide-used GoogleNet machine learning model to classify emotions. The key feature of GoogleNet is the inception mod
53#
發(fā)表于 2025-3-30 17:37:04 | 只看該作者
54#
發(fā)表于 2025-3-30 23:40:41 | 只看該作者
Classification of DNA Sequence for Diabetes Mellitus Type Using Machine Learning Methods,r (FR) or ANOVA feature selection and numerous iterations of N (75) and K (3–5) outperforms competitors with 0.9 accuracy. This proves the diabetes-related DNA sequence classification technique works.
55#
發(fā)表于 2025-3-31 04:04:32 | 只看該作者
Estimation of Wildfire Conditions via Perimeter and Surface Area Optimization Using Convolutional Ns to implement strategies that can be used to mitigate the effects of wildfires. The combination of perimeter and surface area optimization with CNNs represents a promising new approach to wildfire prediction and management, with broad applications in land management, sustainability, and emergency r
56#
發(fā)表于 2025-3-31 06:34:24 | 只看該作者
A Framework Provides Authorized Personnel with Secure Access to Their Electronic Health Records,ecurity framework capable of managing all security issues associated with using cloud storage for EHRs. The present study introduces a security framework that incorporates mechanisms to address confidentiality, integrity, and access control. The framework ensures secure storage and retrieval of elec
57#
發(fā)表于 2025-3-31 12:23:25 | 只看該作者
Explainable Artificial Intelligence for Deep Learning Models in Diagnosing Brain Tumor Disorder,viding insights into the reasoning and decision-making processes of the model. XAI techniques can also help to identify biases in the data used to train the model and address potential ethical concerns. However, challenges remain in implementing XAI techniques in diagnostic systems, including the ne
58#
發(fā)表于 2025-3-31 13:26:38 | 只看該作者
Fault Prediction and Diagnosis of Bearing Assembly,combination of a vibration sensor and a NI DAQ (data acquisition) card to make a suitable dataset and also simulate that data with the help of MATLAB software. This study covers various parameters to study the behavior of the bearing such as Kurtosis, RMS factor, and Skewness. After considering the
59#
發(fā)表于 2025-3-31 20:27:01 | 只看該作者
60#
發(fā)表于 2025-4-1 00:22:53 | 只看該作者
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