Titlebook: Intelligent Informatics; Proceedings of Eight Sankar K. Pal,Sabu M. Thampi,Ajith Abraham Conference proceedings 2025 The Editor(s) (if appl

Pepsin

Engineering a?Mecanum Wheel Mobile Robot with?Raspberry Pi for?SLAMitions. However, as we delve deeper into the field of robotics, we face a recurring challenge: maneuvering mobile robots to accurately determine their own position while simultaneously creating a map of their surroundings. This critical process is defined as Simultaneous Localization and Mapping (SL

考古學(xué)

Multi-filter-Based Image Pre-processing on?Face Mask Detection Using Custom CNN Architectureeriments on this subject. Most of this research was done by using artificial intelligence. This paper focuses on a filter-based approach using a convolutional neural network for classification of face mask usage, which are mask correct, mask wrong, and no mask. Seventeen chosen filters are applied t

Memorial

流出

Spatial Pyramid Image Representation with?DCT Features for?Offline Signature Verificationlevels for offline signature verification. The spatial pyramid feature vector is an extension of an orderless bag of features. We employed a spatial pyramid with 4 levels and took the entire signature image at the first level. The rest of the 3 levels in the pyramid consist of images with 4 partitio

有幫助

HEDGE

CAMEO

Options Trading Strategy Based on GRU Forecastinge application of Long Short-Term Memory (GRU) forecasting models to develop option trading strategies for the NIFTY index, a leading benchmark in the Indian stock market. GRU, a type of recurrent neural network, is employed to forecast future movements in the NIFTY index. The study begins with an in

不透明性

Denoising Historical Text Documents Using Generative Adversarial Networksiven by the application of Generative Adversarial Networks (GANs). GANs have shown promise in various image restoration tasks, including unpaired image-to-image translation and denoising. This paper explores and contributes to the existing body of knowledge on denoising historical text documents usi

TOXIC

Comprehensive Survey of Audio-to-Text Conversiond a new era of rapid and accessible interaction, redefining how we connect and converse. In this paper, our objective is to explore various methodologies employed for the conversion of speech into text. The paper embarks on a journey through the historical evolution of audio-to-text conversion, trac

裂隙

Rainfall Forecasting Using High Spatiotemporal Satellite Imagery and Machine Learning Techniques: A llite technology have enabled the collection of high spatiotemporal resolution data, which can be used to improve rainfall forecasting models. In this study, we utilize the cloud brightness temperature (CBT) derived from INSAT 3DR satellite images to predict rainfall over the Indian region. The CBT