Classification of Remote Sensing Image Scenes Using Double Feature Extraction Hybrid Deep Learning Approach
Volume-3 | Issue-2
Light Weight CNN based Robust Image Watermarking Scheme for Security
Volume-3 | Issue-2
Principle of 6G Wireless Networks: Vision, Challenges and Applications
Volume-3 | Issue-4
PROGRESS AND PRECLUSION OF KNEE OSTEOARTHRITIS: A STUDY
Volume-3 | Issue-3
Is Internet becoming a Major Contributor for Global warming - The Online Carbon Footprint
Volume-2 | Issue-4
Augmented Reality in Education
Volume-2 | Issue-4
A Study on Various Task-Work Allocation Algorithms in Swarm Robotics
Volume-2 | Issue-2
Tungsten DiSulphide FBG Sensor for Temperature Monitoring in Float Glass Manufacturing
Volume-2 | Issue-4
IoT based Biotelemetry for Smart Health Care Monitoring System
Volume-2 | Issue-3
GUI based Industrial Monitoring and Control System
Volume-3 | Issue-2
AUTOMATION USING IOT IN GREENHOUSE ENVIRONMENT
Volume-1 | Issue-1
Principle of 6G Wireless Networks: Vision, Challenges and Applications
Volume-3 | Issue-4
Classification of Remote Sensing Image Scenes Using Double Feature Extraction Hybrid Deep Learning Approach
Volume-3 | Issue-2
Light Weight CNN based Robust Image Watermarking Scheme for Security
Volume-3 | Issue-2
Design of Digital Image Watermarking Technique with Two Stage Vector Extraction in Transform Domain
Volume-3 | Issue-3
Analysis of Natural Language Processing in the FinTech Models of Mid-21st Century
Volume-4 | Issue-3
Image Augmentation based on GAN deep learning approach with Textual Content Descriptors
Volume-3 | Issue-3
VIRTUAL REALITY GAMING TECHNOLOGY FOR MENTAL STIMULATION AND THERAPY
Volume-1 | Issue-1
A Smart Climatic Control Strategy for Optimizing Vegetable Crop Cultivation in Greenhouse using FBANN
Volume-3 | Issue-3
PROGRESS AND PRECLUSION OF KNEE OSTEOARTHRITIS: A STUDY
Volume-3 | Issue-3
Volume - 4 | Issue - 1 | march 2022
Published
25 May, 2022
Nowdays, everybody hopes for a house that suits their way of life and gives conveniences as per their requirements. Building costs continue to change often which demonstrates that costs are frequently overstated. There are many elements that must be thought about at anticipating building costs, for example, area, number of rooms, cover region, how old the property is, and other fundamental neighborhood conveniences. In this paper, CatBoost algorithm alongside Robotic Process Automation are involved for continuous information extraction. Mechanical Process Automation includes the utilization of programming robots to robotize the assignments of information extraction while machine learning algorithm is utilized to anticipate building costs concerning the dataset. Machine Learning is firmly connected with insights, which focus on making forecasts with the help of PCs. There is an assortment of uses of Machine Learning, for example, sifting of messages, where it is challenging to foster a traditional calculation to successfully play out the errand. Machine Learning algorithms are absolutely founded on information, and are a high level rendition of the normal calculation. It makes programs "more intelligent" by permitting them to naturally gain from the information given by people. The algorithm is predominantly separated into two stages i.e., training stage and testing stage. Comprehensively there are three sorts of calculations that are fundamentally utilized on information such as, supervised, unsupervised and reinforcement learning algorithms.
KeywordsMachine Learning Robotic Process Automation Predictions
Full Article PDF Download Article PDF
(INR / USD):