Results 71 to 80 of about 86,060 (208)
ITIHAS Vol. 22 Issue No. 2 [PDF]
NEWSLETTER FROM SASTRA DEEMED UNIVERSITYhttps://knowledgeconnect.sastra.edu/itihas/1010/thumbnail ...
Univ, SASTRA
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A Hybrid Deep Learning Paradigm for Robust Feature Extraction and Classification for Cataracts
Workflow for automated ocular disease diagnosis using CNN‐based feature extraction and SVM classification, optimized with Intel one DNN. ABSTRACT The study suggests using a hybrid convolutional neural networks‐support vector machines architecture to extract reliable characteristics from medical images and classify them as an ensemble using four ...
Akshay Bhuvaneswari Ramakrishnan +3 more
wiley +1 more source
From Emptiness to Interconnectedness: Identity and Dependence in Chinese Buddhism
ABSTRACT “Everything is interconnected” is a central theme of Chinese Buddhism. This article examines how four prominent Chinese Buddhist schools—Tiantai 天台, Sanlun 三論, Huayan 華嚴, and Chan 禪—engaged with interconnectedness during the Sui and Tang Dynasties (581–907 CE), the golden age of Chinese Buddhism.
Li Kang
wiley +1 more source
Materi ini disampaikan pada Seminar Nasional dengan tema Pembelajaran dan Penelitian Sastra Era Digital yang diselenggarakan oleh Universitas Negeri Malang, Sabtu, 16 Oktober 2021.
openaire +1 more source
: This study prove the influence of experiential-assisted cognition on moral reasoning. Used quantitative approach, quasi experiment type, pretest-posttest control group design.
Fitriya Nur Rahmah +2 more
doaj +1 more source
The technique involves source authentication to detect anomalies in phasor measurement unit (PMU) data by extracting spatial fingerprint information. The extracted information is then used as inputs for a multi‐dimensional convolutional neural network simulation framework.
Robert Nobili Britto Thomas +3 more
wiley +1 more source
An integrative survey on Indian sign language recognition and translation
This study aims to survey the Indian sign language (ISL) interpretation literature and give pertinent information about ISL recognition and translation (ISLRT). It provides an overview of recent advances in ISLRT, including the use of machine learning based, deep learning based, and gesture‐based techniques. This work also summarizes the development of
Rina Damdoo, Praveen Kumar
wiley +1 more source
6G‐Enabled AI–Driven Technology for Real‐Time Ecosystem Monitoring and Analysis in Mining Regions
For effective management of the ecological balance of natural resources, it is crucial to conduct real‐time environmental monitoring in the context of mining activities. This research demonstrates five hybrid machine learning models—XGBC + neural networks (NNs), autoencoder + isolation forest, SVM + long short‐term memory (LSTM), graph NN + random ...
Meijing Zhang +5 more
wiley +1 more source
PENERJEMAHAN REPETISI LEKSIKAL DALAM THE OLD MAN AND THE SEA DAN DUA VERSI TERJEMAHANNYA
Penelitian ini membahas penerjemahan repetisi leksikal dengan mengacu pada novel The Old Man and the Sea karya Ernest Hemingway dan dua versi terjemahannya dalam bahasa Indonesia.
Arif Bagus Prasetyo +2 more
doaj +1 more source
AI‐Driven Strength Prediction for Concrete‐Filled Steel Tube Column
This article explores a simplified method to predict the load‐carrying capacity of concrete‐filled steel tubular (CFST) columns and analyzes 13 different types of CFST composite columns. The analysis emphasizes the significance of having sufficient high‐quality experimental data to improve the accuracy of prediction models.
Kanchidurai S. +4 more
wiley +1 more source

