![Loading...](https://link.springer.com/static/c4a417b97a76cc2980e3c25e2271af3129e08bbe/images/pdf-preview/spacer.gif)
-
Chapter and Conference Paper
Parametric Comparison of Deep Learning Models for Musculoskeletal Abnormality Detection
Musculoskeletal disorders are conditions that affect joints, bones, muscles, and the spine. The authors of this paper aim to investigate the use of artificial intelligence (AI), particularly deep learning, to ...
-
Chapter and Conference Paper
BGKnow-Medical Chatbot: A Hybrid Approach Based on Knowledge Graph and GPT-2
Accurate and timely diagnosis is critical in ensuring patients receive care and treatment for their medical conditions. Traditional symptom checkers often lack accuracy and efficiency in diagnosing diseases, a...
-
Chapter and Conference Paper
Impact of Artificial Intelligence Tools and Text-to-3D Model Generators on Interior Design
The advent of Artificial Intelligence (AI) tools in the present world is significantly impacting the field of interior design and architecture. This is due to the use of AI tools in 3D modelling and design, th...
-
Chapter and Conference Paper
Stacked LSTM Model for Shakespeare Style Poem Generation
Natural Language Generation has gained immense popularity in the field of Natural Language Processing. The use of deep learning algorithms for text generation has various applications across domains. One such ...
-
Chapter and Conference Paper
Sarcastic Sentiment Detection and Polarity Classification of Tweets Using Supervised Learning
Nowadays, due to the rapid growth in web technologies and internet usage, there is an enormous amount of data available in WWW and also growing progressively. The data includes online learning, exchanging idea...
-
Chapter and Conference Paper
Comprehensive Survey on Wireless Network on Chips
The key challenge the SoC designers vanquish is on performance and energy consumption. Concerning this, the network on chip (NoC) evolved to accommodate greater numbers of IP cores on a die and empowering conv...
-
Chapter and Conference Paper
A Systematic Review of Stability Analysis for Memristor Neural Networks
The stability issues of both continuous and discrete time memristive neural networks have been investigated vastly and numerous publications have been published. This paper intends to provide compendious revie...
-
Chapter and Conference Paper
Generating Automobile Images Dynamically from Text Description
Synthesis of a realistic image from matching visual descriptions provided in the textual format is a challenge that has attracted attention in the recent research community in the field of artificial intellige...
-
Chapter and Conference Paper
A Case Study on Distributed Consensus Problem on Cloud-Based Systems
Fault tolerance is a vital element in cloud computing to achieve high performance. In cloud computing fault tolerance particularly cluster management, network discovery and consistent system master node replic...
-
Chapter and Conference Paper
Computer Security Based Question Answering System with IR and Google BERT
Machine learning perception and question answering is a fundamental errand in natural language processing. As of late, pre-prepared contextual embeddings (PCE) model, bidirectional encoder representations from...
-
Chapter and Conference Paper
Thermal Image Processing and Analysis for Surveillance UAVs
Forest fires solely are responsible for a multitude of environmental disasters. This in turn results in economic and ecological/environmental damage, thus bringing peril to people’s lives. Automatic surveillan...
-
Chapter and Conference Paper
Hybrid Recommendation System for Scientific Literature
This paper aims to create a recommendation system for scientific articles. The system can help both researchers and students in finding suitable articles related to their fields of study in a time-efficient ma...
-
Chapter and Conference Paper
Keystroke Dynamics for User Verification
With the evolution of internet, the dependency of humans on them has increased. This has led to an increase in attacks, forgery, impersonation and so on, which require that a user and his privacy be maintained...
-
Chapter and Conference Paper
Location-Based Sentiment Analysis of the Revocation of Article 370 Using Various Recurrent Neural Networks
This study aims to determine the public sentiment on the revocation of Article 370 by the Indian Government. Article 370 gave special privileges to the Indian state of Jammu and Kashmir, allowing it to have a ...
-
Chapter and Conference Paper
Adaptive Beamforming Using LMS Algorithm for Planar Arrays and Subarrays
The importance of adaptive algorithms to recognize the existence of an interference is increasing since the adaptive antennas adjust the pattern automatically. One such adaptive algorithm is the least mean squ...
-
Chapter and Conference Paper
Multiscale Template Matching to Denoise Epigraphical Estampages
epigraph is an engraved inscription from the past. Deciphering, recognizing and understanding the text in such epigraphical documents is mundane work for archaeologists. One of the major tasks in this...
-
Chapter and Conference Paper
Recognition of Handwritten Kannada Characters Using Unsupervised Learning Method
In the digital era, recognition of handwritten Kannada characters and words and converting them to machine editable form is a challenging research. It has applications like reading aid for blind, digitization ...
-
Chapter and Conference Paper
Similarity Analysis of Residual Frames for Inter Frame Forgery Detection in Video
The credibility of digital videos obtained from various sources like surveillance cameras, smartphones, webcams used as evidence in courtrooms, medical world, and journalism needs to be verified for its authen...
-
Chapter and Conference Paper
Deadlock Recovery for NOC Using Modified Encoding Scheme
Current technology trends stress upon scaling down size and area in processors and chip designs. There is a paradigm shift toward highly complex circuits, such as System on Chip (SoC), Complex chip Multi-Proce...
-
Chapter and Conference Paper
Scale Space-based Capillary Detection to Determine Capillary Density and Avascular in Nailfold Capillary Images Using USB Digital Microscope
Nailfold capillaroscopy (NC) is a non-invasive technique used for detecting multiple medical disorders such as connective tissue, rheumatic and systemic diseases. Current NC methods involve acquiring high-reso...