Titlebook: ICDSMLA 2021; Proceedings of the 3 Amit Kumar,Sabrina Senatore,Vinit Kumar Gunjan Conference proceedings 2023 The Editor(s) (if applicable)

做事过头

强制性

Attendance System Based on Face Recognition Using Haar Cascade and LBPH Algorithm,face recognition application where it takes less time comparatively, and it is stored in the database; this avoids confusions, proxies, and error of storing data when done manually. The students need to fill their data along with parent’s details, so when the students are absent, the message will be

accordance

tenuous

Dynamic Weighting Selection for Predictive Torque and Flux Control of Industrial Drives, the adjustable speed operation of industrial drives. This control technique offers fast dynamic response and retains the decoupled nature present in the conventional counterpart. One of the main challenges of this control approach is to select the suitable weighting factor (WF) for the respective o

勉励

Population Index and Analysis Based on Different Geographies; Using Distance Measurement, Social Dis no medicine or drug to cure COVID immediately, and people are at the risk of losing their lives. Lack of vaccines or delay in vaccine production for mass results social distancing being the only measure to tackle this pandemic. As a result, social distancing has proven to be a very reliable and ef

皮萨

On the Discriminability of Samples Using Binarized ReLU Activations, weights it can be shown theoretically that local metric properties are approximately preserved, we experimentally study the discrimination capability in this Hamming space for deeper ReLU networks and look also at the non-local behavior. It turns out that the discrimination capability is approximat

–LOUS

Delectable

Skin Cancer Classification Using Deep Learning, Though skin cancer is one of the foremost deadly variants of malignant neoplastic disease, a faster identification can cause a very high chance of survival. The primary step of diagnosis of a lesion by a specialist is visual examination of the suspicious skin lesion. It is found that a specialized

adequate-intake

Crop Yield Prediction Using Deep Learning,n FY20. Given the significance of agriculture in India, farmers might benefit from early forecasting of agricultural yields. The study focuses on predicting agricultural yield, for Karnataka state using the regression with neural network model. The final constructed dataset takes parameters like agr

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