Titlebook: Applied Information Processing Systems; Proceedings of ICCET Brijesh Iyer,Debashis Ghosh,Valentina Emilia Balas Conference proceedings 2022

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書(shū)目名稱Applied Information Processing Systems影響因子(影響力)




書(shū)目名稱Applied Information Processing Systems影響因子(影響力)學(xué)科排名




書(shū)目名稱Applied Information Processing Systems網(wǎng)絡(luò)公開(kāi)度




書(shū)目名稱Applied Information Processing Systems網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書(shū)目名稱Applied Information Processing Systems被引頻次




書(shū)目名稱Applied Information Processing Systems被引頻次學(xué)科排名




書(shū)目名稱Applied Information Processing Systems年度引用




書(shū)目名稱Applied Information Processing Systems年度引用學(xué)科排名




書(shū)目名稱Applied Information Processing Systems讀者反饋




書(shū)目名稱Applied Information Processing Systems讀者反饋學(xué)科排名

Campaign

DEI

Unbounded Fuzzy Radial Basis Function Neural Network Classifier,ferent data mining algorithms are used in pattern recognition. The selection of an appropriate and precise algorithm is very crucial. An imprecise algorithm may lead to generate a wrong decision. Recognition can be supervised or unsupervised. This paper presents a novel unbounded fuzzy radial basis

Infinitesimal

A Study on the Adaptability of Deep Learning-Based Polar-Coded NOMA in Ultra-Reliable Low-Latency Civotal channel coding technique for 5G to accomplish the previously mentioned goals. Subsequently, the Polar- Coded Non-Orthogonal Multiple Access (PC-NOMA) is observed as a favorable channel accessing technique for sporadic traffic of low data rate devices in a 5G Internet of Things (IoT) environme

煉油廠

Heart Rate Variability-Based Mental Stress Detection Using Deep Learning Approach,ssential to develop a computer-aided diagnosis system to identify relaxed versus stressed individuals and their correct classification. Heart rate variability (HRV) based on RR interval is a well-proven clinical and diagnostic tool strongly associated with the autonomic nervous system (ANS). In this

痛打

意外的成功

Driver Drowsiness Detection Using Deep Learning,wsiness are common among many drivers, which often leads to road accidents. Alerting the driver ahead of time is the best way to avoid road accidents caused by drowsiness. There are numerous techniques to detect drowsiness. In this paper, we have put forward a deep learning-based approach to detect

Systemic

親愛(ài)

Deep Age Estimation Using Sclera Images in Multiple Environment,a protective outer layer present in human eye, get changed. In this work, we present an exploratory study to find the effectiveness of using sclera region of eye images for age estimation. It employs a modified form of deep neural network model VGG-16. The model is trained and tested by SBVPI datase

Heart-Attack

Data Handling Approach for Machine Learning in Wireless Communication: A Survey,ch heterogeneous networks with huge demand are manually difficult for network engineers. In the recent past, Machine Learning (ML) has proven its capability by significantly improving the performance in various fields such as natural language processing and medical diagnostic. Using ML in wireless c