A5030884718- Natural Language Processing Techniques
- Artificial Intelligence in Law
- Topic Modeling
- Multi-Agent Systems and Negotiation
- Software Engineering Research
- Municipal Solid Waste Management
- Music and Audio Processing
- Recycling and Waste Management Techniques
- Speech and Audio Processing
- Advanced Malware Detection Techniques
- Salivary Gland Disorders and Functions
- Advanced Text Analysis Techniques
- Speech Recognition and Synthesis
- Spam and Phishing Detection
- Software Engineering Techniques and Practices
- Advanced Neural Network Applications
- Diabetes and associated disorders
- Misinformation and Its Impacts
- Systemic Sclerosis and Related Diseases
Kathmandu University
2022
University of Évora
2012-2018
Nepal Medical College Teaching Hospital
2014
Waste Management is important for humans as well nature healthy life and a clean environment. The major step effective waste management the segregation of according to its types. advancement technology such hardware artificial intelligence used waste. There are several machine learning deep algorithms available image classification. Among them, Convolutional Neural Network most one. main objective this work classify images materials using CNN into seven categories (cardboard, glass, metal,...
Screening candidates' resumes manually is a tedious job, with possibilities of sometimes missing good candidates due to human errors, nepotism, and bias. However, these kinds mismanagement don't apply machines. Instead, automatic screening reduces lot effort, time, cost. Hence this work specifically focuses on extracting technical skills using natural language processing resume label character positioning, data set consisting software engineering candidate requirements, regular expressions,...
The main purpose of this study is to evaluate the best set features that automatically enables identification argumentative sentences from unstructured text. As corpus, we use case laws European Court Human Rights (ECHR). Three kinds experiments are conducted: Basic Experiments, Multi Feature Experiments and Tree Kernel Experiments. These basically categorized according type available in corpus. extracted corpus Support Vector Machine (SVM) Random Forest used as learning algorithms. We...
In this paper, we examine the research conducted in field of Nepali Automatic Speech Recognition (ASR). The primary objective survey is to conduct a comprehensive review works on Systems completed date, explore different datasets used, technology utilized, and take account obstacles encountered implementing ASR system. tandem with global trends ever-increasing speech recognition based research, number Nepalese ASR-related projects are also growing. Nevertheless, investigation language...
We report two cases of female patients presented with hypokalemia secondary to renal tubular acidosis. Sjögren’s syndrome was diagnosed in both the on basis histopathological and autoantibodies tests. The were treated potassium bicarbonate supplementation. Renal involvement is not uncommon may precede sicca complaints. pathology most a tubulointerstitial nephritis causing distal acidosis rarely, hypokalemic paralysis. complications include life threatening hypokalemia, nephrolithiasis,...
Word embedding is a technique for understanding the relationship among words by mapping to numbers. Several kinds of research have been carried out in this field different languages such as English, Hindi, Bengali etc. but very few works are available Nepali language domain. In work, word using Word2Vec implemented news data. The methodology involved work includes Dataset preparation and modelling. Gensim package used implementing model its output shows similarity between words. mainly...
With the increased use of Internet and social networking sites, information can now disseminate at a rapid rate. It is an age where any be accessed with single click. This has risk spread misleading false information. These fake news have negatively impacted people society. So, strong mechanism needed to detect stop its propagation. The content news, source response are main features that help credibility authenticity news. paper aims implement deep neural networks accurately evaluate...