263 Result(s)
within
English
Data Mining and Knowledge Discovery
M. **gliang
Conference Paper
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Chapter and Conference Paper
Sentiment Analysis from Social Media Data in Code-Mixed Indian Languages Using Machine Learning Classifiers with TF-IDF and Weighted Word Features
Analyzing sentiments from code-mixed languages is a challenging task, so in this research we used social media data in code-mixed Dravidian languages (Malayalam-English, Tamil-English) and code-mixed Indo-Arya...
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Chapter and Conference Paper
A Survey on the Detection of Diseases in Plants Using the Computer Vision-Based Model
The Agriculture sector acts as the backbone of our country. It has not just remained as simply to feed the increasing population. Rapid growth of the population day by day has resulted in a high demand of agri...
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Chapter and Conference Paper
A Novel Approach to Video Summarization Using AI-GPT and Speech Recognition
In an era where online video data is exploding, there is a growing need for efficient ways to summarize video content. In this paper, a novel approach is proposed that leverages AI and speech recognition techn...
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Chapter and Conference Paper
Classification of Brain Tumour Disease with Transfer Learning Using Modified Pre-trained Deep Convolutional Neural Network
A brain tumour may be a fully overwhelming cancer condition due to the unregulated and peculiar cell division. The division of brain cells is what causes it or contributes to its occurrence. A significant adva...
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Chapter and Conference Paper
Security Issues and Solutions in Post Quantum Authenticated Key Exchange for Mobile Devices
An authenticated mobile key exchange is necessary for post quantum secure communication over a public channel. It enables two parties to establish a secure fresh session key for each of the communication. In t...
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Chapter and Conference Paper
A Holistic Approach for Single-Cell Data Trajectory Inference Using Chromosome Physical Location and Ensemble Random Walk
Single-cell RNA sequencing technology enables the analysis of complex, heterogeneous cell samples. However, errors in data processing, dimension reduction, and clustering can negatively impact subsequent calcu...
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Chapter and Conference Paper
Empowering Legal Citation Recommendation via Efficient Instruction-Tuning of Pre-trained Language Models
The escalating volume of cases in legal adjudication has amplified the complexity of citing relevant regulations and authoritative cases, posing an increasing challenge for legal professionals. Current legal c...
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Chapter and Conference Paper
RF-Based Drone Detection with Deep Neural Network: Review and Case Study
Drones have been widely used in many application scenarios, such as logistics and on-demand instant delivery, surveillance, traffic monitoring, firefighting, photography, and recreation. On the other hand, the...
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Chapter and Conference Paper
Enhancing the Performance of PSO Algorithm for Clustering High-Dimensional Data Using Autoencoders
The emergence of big data has brought new challenges in processing and analyzing large and complex datasets due to their high dimensionality. Unsupervised learning techniques like clustering have become powerf...
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Chapter and Conference Paper
The Death Process in Italy Before and During the Covid-19 Pandemic: A Functional Compositional Approach
In this talk, based on [1], we propose a spatio-temporal analysis of daily death counts in Italy, collected by ISTAT (Italian Statistical Institute), in Italian provinces and municipalities. While in [1] the f...
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Chapter and Conference Paper
A Systematic Review on Explicit and Implicit Aspect Based Sentiment Analysis
Opinion mining is also called sentiment analysis is a branch of web mining and text mining that is the process of identifying and determining the orientation of individual web users regarding various products,...
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Chapter and Conference Paper
Ensuring Fairness of Human- and AI-Generated Test Items
Large language models (LLMs) have been a catalyst for the increased use of AI for automatic item generation on high-stakes assessments. Standard human review processes applied to human-generated content are al...
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Chapter and Conference Paper
Towards a Cash-on-Delivery Management Solution Based on Blockchain, Smart Contracts, and NFT
The demand for transporting goods is increasingly diversified, it is associated with the economic development needs of a country. For domestic (eg, Cash-on-delivery - CoD) or international (eg, Letter-of-Credi...
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Chapter and Conference Paper
Help Seekers vs. Help Accepters: Understanding Student Engagement with a Mentor Agent
Help from virtual pedagogical agents has the potential to improve student learning. Yet students often do not seek help when they need it, do not use help effectively, or ignore the agent’s help altogether. Th...
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Chapter and Conference Paper
Sign Language Recognition for Needy People Using Machine Learning Model
In this digital era, gesture identification is one of the revolutions to serve specially-abled (deaf and dumb) people, and it is been investigated for several decades. Tactlessly, all research studies have the...
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Chapter and Conference Paper
Blood and Blood Products Management System Based on Blockchain, and NFT Technologies
Nowadays, the need to use blood and its products for the treatment and diagnosis of diseases is increasing. At present, no method can replace blood and its products in the treatment method - the only solution ...
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Chapter and Conference Paper
Performance Evaluation Metrics of NBA, NAAC, NIRF, and Analysis for Grade up Strategy
Accreditation is a process for grading the technical or non-technical programs that are offered by various colleges and universities. The TIER-I system is designed for the technical programs run by independent...
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Chapter and Conference Paper
Abstractive Summarization is Improved by Learning Via Semantic Similarity
Semantic similarity is a training approach that takes into account the semantic meanings of the generated summaries. The most difficult to find is sentence similarity. The sentence is determined not only by th...
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Chapter and Conference Paper
Enabling PII Discovery in Textual Data via Outlier Detection
Discovering Personal Identifying Information (PII) in textual data is an important pre-processing step to enabling privacy preserving data analytics. One approach to PII discovery in textual data is to charact...
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Chapter and Conference Paper
Bookending ARFIS: The Development, Final Results, and Current State of the Academic Reading Format International Study
The Academic Reading Format International Study (ARFIS) is the largest study conducted to date on tertiary students’ reading format preferences and behaviors
