Ashok Kumar

Banasthali University

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Ramakrishnan Raman

Symbiosis International University

Ajay Singh Yadav

Arizona State University

Manisha Jailia

Banasthali University

Manoj Joshi

Amity University

Ruhi Bakhare

Prin. L. N. Welingkar Institute of Management Development and Research

Dheerendra Singh

Jawaharlal Nehru Krishi Vishwa Vidyalaya

Chanambam Mokaju Meitei

Sharda University

Suhayl Abidi

Chilukuri K. Mohan

Syracuse University

Manisha Agarwal

Banasthali University

Cooperative Institutions

Koneru Lakshmaiah Education Foundation

SRM Institute of Science and Technology

Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology

Saveetha University

American Institute of Chemical Engineers

Cornell University

Anna University, Chennai

Sathyabama Institute of Science and Technology

Institute of Medical Sciences

Cisco Systems (United States)

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India - Assam State Roads Project : P096018 - Implementation Status Results Report : Sequence 02

Ashok Kumar

Sequence (biology)

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Seismic site characterization baseline data for microzonation and site response analysis of Otuasega Town, Bayelsa State, Niger Delta region of Nigeria

Scientific Reports (2024)

Gamil M. S. Abdullah Charles Kennedy Ashok Kumar Waleligne Molla Salilew Omrane Benjeddou

Niger delta

Baseline (sea)

Seismic microzonation

10.1038/s41598-024-70951-0

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Analysis of smart city environment by artificial intelligent techniques

AIP conference proceedings (2023)

Sujay Mugaloremutt Jayadeva A. K. Gnanasekar Prashant Sunagar N Harshith Sahil Salvi

10.1063/5.0164209

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Recursive CNN Model to Detect Anomaly Detection in X-Ray Security Image

2022 2nd International Conference on Innovative Practices in Technology and Management (ICIPTM) (2022)

Senthil Kumar R Syed Musthafa. A A. Balaji Gurpreet Singh Ashok Kumar

To address the issue of contraband scale difference in the identification of X-ray pictures during security inspection, we upgrade the Faster RCNN network and propose a multi-channel region proposal network (MCRPN). Multi-layer feature extraction is achieved using the complementarily of distinct levels of convolution features in visual semantics, and the richer semantic components of VGG16 high-level layers and the shallower edge features of low-level layers are fused; To construct a multi-scale contraband detection network, the multi-scale candidate target regions are mapped to the corresponding feature maps; dilated convolutions are introduced into the multi-channel, and a multi-branch dilated convolutions module (DCM) is designed to increase the Receptive field and thus enhance features at different scales. On the self-created data set SIXray OD, the enhanced algorithm achieves an average detection accuracy of 84.69 percent and a test performance improvement of 6.28 percent over the original network. Additionally, the testing findings indicate that the enhanced algorithm's recognition accuracy has been increased to a considerable level.

Anomaly (physics)

10.1109/iciptm54933.2022.9754033

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Web 2.0 literature in open access LIS journals

International Journal of Information Dissemination and Technology (2016)

Ashok Kumar Anna Kaushik

This study investigates periodical literature published on Web 2.0 topic in selected open access library and information science journals during 2005-2015. The results of the study revealed that majority of articles on above said topic published in “First Monday”, 2008 year noted as most productive year and maximum articles published on Web 2.0/Library 2.0 themes and highest number of articles published by sole authors. This study may be helpful for those users who are looking for periodical literature on Web 2.0 topic published in open access journals and also for conducting different studies for various purposes on Web 2.0 topic.

Web of science

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Comparative Study of N-Tier and Cloud-Based Web Application Using Automated Load Testing Tool

Advances in intelligent systems and computing (2017)

Manisha Jailia Manisha Agarwal Ashok Kumar

10.1007/978-981-10-5508-9_23

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Uncomplicated Pregnancy Beyond EDD

Jaypee Brothers Medical Publishers (P) Ltd. eBooks (2001)

Ashok Kumar

10.5005/jp/books/11609_23

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A Comprehensive Guide to Object Detection with TensorFlow: From Setup to Inference

IJARCCE (2024)

Thamodharan Ashok Kumar Mahesh Chand G.Sai Sreeja Sureddy Reddy

Numerous industries, including autonomous vehicles, security, and image analysis, use object detection, a crucial computer vision problem.You may use TensorFlow, one of the top deep learning frameworks, to do object identification, and this detailed guide will walk you through every step of the procedure.We'll walk you through the initial setup before demonstrating how to choose pre-trained models from the TensorFlow Model Zoo and help you customise them for your particular object identification task.You'll gain knowledge of dataset preparation, data augmentation, and crucial model-training procedures.The complexity of model evaluation is also covered in this book, which will assist you in assessing the effectiveness of your object detection model using metrics like Mean Average Precision (mAP).We offer insight into typical problems and the best solutions, with a practical focus.Finally, we look at the procedure for reasoning about fresh picture or video streams using your learned model.From setup to inference, the entire object detection process will be thoroughly explained to you, giving you the information and abilities you need to use TensorFlow to meet your object detection needs.

10.17148/ijarcce.2024.13455

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Debate: Should Progestogens Be Used in Recurrent Pregnancy Loss? Yes

CRC Press eBooks (2020)

Ashok Kumar Simar Kaur

The role of progestogens in supporting early pregnancy in women with unexplained recurrent pregnancy loss has always been controversial and always stirs up debate. Serum progesterone levels of women were checked on the day of positive urine pregnancy test and repeated 48 hours later. The primary objective of the trial was to study the improvement of pregnancy rate, confirmed by the presence of fetal heartbeat at 12 weeks' gestation, determined by transvaginal ultrasound. The meta-analysis concluded that administration of progestogens early in pregnancy to women with recurrent miscarriages may lower the miscarriage rate from 26.3% to 19.4%. Treatment was started immediately after documentation of ovulation using ultrasound through luteal phase until confirmation of pregnancy and continued until 28 weeks. The primary objective of the trial was to study the improvement of pregnancy rate, confirmed by the presence of fetal heartbeat at 12 weeks' gestation, determined by transvaginal ultrasound.

10.1201/9780429450303-20

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IoT Based Fish Pond Monitoring System to Enhance Its Productivity

Sumeet Kumar Thayyaba Khatoon Mohammed Seeram Srinivasa Rao P. Dinesh Anton Raja Ruhi Bakhare

Modernizing fish ponds for agricultural production face major challenges in terms of capital expenditure and operational expenses. Fish farming of particular types of fish species necessitates the fulfilment of several requirements because, like several other living organisms, fish have a precise limit for an assortment of environmental criteria. For the good health and development of the organisms, big farms typically have certain kinds of water surveillance and replacement mechanization systems. To preserve the ecosystems for living fish, the people who work in the fish farming ponds must be active throughout the day. Local farmers who operate on relatively small ponds couldn't afford to compensate employees to manage daily tasks, which typically include keeping an eye on water levels, temperature, and pH levels. As a result, the prime motive for this paper is to monitor and take steps to keep the habitat's eco-friendly environment for specific species of fish, which will decrease the time required for some basic actions. This article puts forth a smart Internet of Things (IoT) based fish pond water monitoring system. Such a smart system consists of several real-time sensors that monitor and send inputs to a microcontroller and the data is stored in a real-time database. The user can track these values through a phone app that is assimilated with the cloud by having them transmitted to the cloud at periodic intervals and this helps the fish pond owners to take required action quickly and effectively when needed. As embedding devices are typically made up of an Arduino board, internet and relay frames, and a computer interface, a farmer could easily source these parts. With the help of this integration system, farmers can reduce operating costs and boost overall effectiveness by avoiding the need to hire employees for their location.

10.1109/iciptm57143.2023.10117894

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