Machine Learning based Employee Attrition Predicting

Now a day’s variety of reasons for job resignations due to this, we have to take different types of measurements for prediction of job seekers. They have different reasons for not doing jobs well and fell like pressure. Many employees suddenly come to an end of their service without any reason. Techniques of machine learning have full-grown in fame in the middle of researchers in current years. It is accomplished of propose answer to a broad range of problems. Help of machine learning, you may produce prediction concerning staff abrasion. So machine learning model we will be using TCS employee attrition a genuine time dataset to train our model. The aim of this study is to at hand a comparison of different machine learning algorithms for predict which employees are probable to go away their society. We propose two methods to crack the dataset into train and test data: the 75 percent train 25 percent test split and the K Fold methods. Three techniques are three methods that we employ to train our model for correctness comparison, and we will compare the exactness of the models generate using these three Boosting Algorithms

Not Available

Not AvailablePlanning aquaculture and fisheries activities in a reservoir requires knowledge of dynamics of water spread. We studied water spread dynamics of three reservoirs in the Godavari river basin, India using multi-temporal satellite imagery for the period 1990–2018 and developed a framework for mapping the spatial extent of water spread area (WSA) having potential for enclosure fish culture. The study showed that WSA of Nizamsagar reservoir in pre-monsoon season has declined from 108.11 to 99.34 km2 from phase I (1990–2006) to phase II (2007–2018), respectively and a similar trend was seen in Pocharam and Nallavagu reservoirs. For post monsoon seasons of the same time period, an increase in WSA was seen in Nizamsagar (133.75–144.14 km2) and Pocharam reservoirs (14.15-14.67 km2). Based on frequency of water presence during 2007–2018, WSA with potential for cage and pen culture was determined in Nizamsagar (31.04 km2) and Pocharam (2.87 km2) reservoirs. The study showed that both the reservoirs can accommodate maximum allowed number of cages (5000 and 500 cages respectively). We provide a decision matrix for location-specific selection of suitable culture methods and candidate species, which would aid in optimal utilization of the hitherto under-utilized reservoirs, especially in in situ data poor conditions. This study can be scaled up in the entire country with the help of academia/industry to prioritize reservoirs with potential for enclosure fish culture and plan appropriate interventions for reducing their yield gap.Not Availabl

Proceedings of the 6th International Conference on Modeling and Simulation in Civil Engineering

This conference proceedings contains articles on the various research ideas of the academic community and technical researchers presented at the 6th International Conference on Modeling and Simulation in Civil Engineering (ICMSC 2022). ICMSC 2022 was organized by the Department of Civil Engineering, TKM College of Engineering, Kollam, Kerala, India on December 1-3, 2022. The main aim of this conference is to bring together leading academicians, researchers, technocrats, practitioners, and students to exchange and share their experiences and research outputs on all aspects of Civil Engineering, especially related to the modeling and simulation in Civil Engineering.  Conference Title: 6th International Conference on Modeling and Simulation in Civil EngineeringConference Acronym:  ICMSC 2022Conference Date: 1-3 December 2022Conference Location: IndiaConference Organizer: Department of Civil Engineering, TKM College of Engineering, Kollam, Kerala, Indi

TEQIP - III Sponsored First International Conference on Innovations and Challenges in Computing, Analytics and Security

This book contains abstracts of the various research papers of the academic & research community presented at the International Conference on Innovations and Challenges in Computing, Analytics and Security (ICICCAS-2020). ICICCAS-2020 has served as a platform for researchers, professionals to meet and exchange ideas on computing, data analytics, and security. The conference has invited papers in seven main tracks of Data Science, Networking Technologies, Sequential, Parallel, Distributed and Cloud Computing, Advances in Software Engineering, Multimedia, Image Processing, and Embedded Systems, Security and Privacy, Special Track (IoT, Smart Technologies and Green Engineering). The Technical and Advisory Committee Members were from various countries that have rich Research and Academic experience. Conference Title: TEQIP - III Sponsored First International Conference on Innovations and Challenges in Computing, Analytics and SecurityConference Acronym: ICICCAS-2020Conference Date: 29-30 July 2020Conference Location: Pondicherry Engineering College, Puducherry – 605014, India (Virtual Mode)Conference Organizer: Department of Computer Science and Engineering, Pondicherry Engineering College, Puducherry, India.Conference Sponsor: TEQIP-III NPIU (A Unit of the Ministry of Human Resource Development, India)

Abstracts of National Conference on Biological, Biochemical, Biomedical, Bioenergy, and Environmental Biotechnology

This book contains the abstracts of the papers presented at the National Conference on Biological, Biochemical, Biomedical, Bioenergy, and Environmental Biotechnology (NCB4EBT-2021) Organized by the Department of Biotechnology, National Institute of Technology Warangal, India held on 29–30 January 2021. This conference is the first of its kind organized by NIT-W which covered an array of interesting topics in biotechnology. This makes it a bit special as it brings together researchers from different disciplines of biotechnology, which in turn will also open new research and cooperation fields for them. Conference Title: National Conference on Biological, Biochemical, Biomedical, Bioenergy, and Environmental BiotechnologyConference Acronym: NCB4EBT-2021Conference Date: 29–30 January 2021Conference Location: Online (Virtual Mode)Conference Organizer: Department of Biotechnology, National Institute of Technology Warangal, Indi