The AI-Powered Information Extraction System with API Integration is an innovative project that uses AI to extract valuable insights from user inputs intelligently. The system efficiently retrieves information by inte...
The AI-Powered Information Extraction System with API Integration is an innovative project that uses AI to extract valuable insights from user inputs intelligently. The system efficiently retrieves information by integrating advanced AI algorithms and utilizing OpenAI’s API keys. The ’’Generation of Smart TextBook Using Artificial Intelligence’’ project employs creative AI-based text generation to provide contextually accurate responses to user queries. It aims to assist users in obtaining informative answers by prompting them to enter queries. The application uses OpenAI’s API key to formulate specific questions related to the topic. It then accesses the OpenAI API to generate responses, enhancing user interactions with information. The project showcases AI’s potential in generating contextually relevant responses, providing images, videos, and converting smart text into different formats for user preferences. This multi-format approach offers flexibility for editing, sharing, or reading.
This paper presents Camera-LiDAR Fusion Transformer (CLFT) models for traffic object segmentation, which leverage the fusion of camera and LiDAR data using vision transformers. Building on the methodology of visual tr...
详细信息
ChatGPT hit 1M users in just 5 days once it went public, the leading companies such as Facebook, Instagram, Spotify, Netflix took several months to years to achieve this mark. As a result of the conversational AI Chab...
ChatGPT hit 1M users in just 5 days once it went public, the leading companies such as Facebook, Instagram, Spotify, Netflix took several months to years to achieve this mark. As a result of the conversational AI Chabot being hailed as a technological revolution, ChatGPT has emerged as one of the year’s most popular buzzwords. This research study intends to initiate interaction with ChatGPT more convenient to users by using user sent WhatsApp images containing text as input by converting it into text-based prompt which is accepted by ChatGPT and provide the user with the response generated by ChatGPT. This is achieved by integrating RPA to automate an in-dept. examination of images for information discovery using OCR to extract text and ChatGpt to retrieve information. This research study also focuses on providing a quick response to the user by comparing images with previous users’ inputs and sending the same response in case there is repetition of images which increases efficiency in terms of computation resources too. The proposed solution is designed to provide a quick suitable response to the user inscribed text in the image.
As interdisciplinary research develops, numerous publications are uploaded to the research community. This makes researchers spend a lot of time searching for valuable information. Some methods have been proposed to p...
详细信息
The ease of adaptability of Internet of Things (IoT) enables multiple devices to communicate with the aim of shearing data and information resources. The IoT architecture of operation is by default centralized. Howeve...
详细信息
In recent years, human motion analysis has become the center of video processing, especially in motion detection and security surveillance. When performing specific tasks, it is always a tool to minimize human resourc...
详细信息
The important role played by the data compression is in reducing the storage space required, and ensuring bandwidth utilization in efficient manner and low transmission delays. Image compression is also a part of data...
详细信息
With the rapid advancement of electronic textiles, the design and integration of connectors have emerged as pivotal challenges. This study emphasizes the development of a connection solution that amalgamates miniaturi...
With the rapid advancement of electronic textiles, the design and integration of connectors have emerged as pivotal challenges. This study emphasizes the development of a connection solution that amalgamates miniaturization, efficiency, and reliability, specifically tailored for Flexible Conductive Silicone Circuits. A diversified connection scheme is proposed, incorporating elements such as snaps, Pogo pins, and conductive hook-and-loop fasteners, thereby achieving an innovative and pragmatic design. Through meticulous manufacturing processes, including the utilization of hot-melt adhesive, PET films, conductive fabric, and other multilayer materials, a connection system with low impedance and commendable conductivity was successfully engineered. Impedance test outcomes have indicated that the resistance at each connection point is less than 0.7 ohms, substantiating its superior electrical properties. In terms of assembly, this research demonstrates the precise interconnection of the controller and conductive fabric circuit, ensured by metal pin technology, leading to connection stability. This solution not only furnishes appropriate connection technology for specific application scenarios but also opens new avenues and directions for connection design within the domain of electronic textiles.
Data compression is the way of reducing the number of bits required to store and efficiently utilize bandwidth during the transmission of data over a network channel. Image compression is also having importance as ima...
详细信息
This study revolves around delving into the realm of dynamic preferences within the context of the Stable Marriage Problem (SMP). While the Gale-Shapley algorithm necessitates a time complexity of $O(n^{2})$ to solve ...
This study revolves around delving into the realm of dynamic preferences within the context of the Stable Marriage Problem (SMP). While the Gale-Shapley algorithm necessitates a time complexity of $O(n^{2})$ to solve an SMP with static preferences, the pursuit of identifying stable matchings under dynamic preferences becomes significantly more time-intensive, entailing a time complexity of $O(k\cdot n!\cdot n^{2})$. The majority of the process involved in discovering stable matchings under dynamic preferences revolves around iterative searching. This circumstance motivates us to develop a database comprising SMP instances and their corresponding stable matchings. This database facilitates a reduction in the time required to uncover static stable matchings from $O(n^{2})$ to $O(n)$. Additionally, our application incorporates several features that enhance users’ comprehension of stable matching structures within SMP instances, including visualization through a lattice structure.
暂无评论