MIT-World Peace University (MIT-WPU) is a top educational institute located in Pune, India. It is recognized within&nbsp;UGC under Government of Maharashtra Act No. XXXV 2017.&nbsp;

It is part of the MIT group of institutions (established in 1983) which covers 10+ campuses across India and has more than 50,000+ students enrolled across various disciplines at a given point of time. The institute houses 15 schools ranging from Engineering &amp; Technology, Design, Pharmacy, Commerce, Governance among others. It offers undergraduate, postgraduate and PhD programs among different disciplines.&nbsp;

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MIT World Peace University

Engineering and Technology

School of Computer Engineering & Technology

World University root node

IEEE Access

Multi-layout Unstructured Invoice Documents Dataset: A dataset for Template-free Invoice Processing and its Evaluation using AI Approaches

Education is an essential axe in developing a modern, progressive and industrialized society. People must be ingrained with good quality education to be able to match up with this competitive world. In recent epoch, prenatal education by laying pre-birth prognostication of fetus in the uterus of the mother has been provoked. The grasping power of a fetus in mother's uterus is superior compared to a born child, while in the utero, baby is able hear and remember sounds which baby are able to remember even after their birth. It is also manifested that the work the mother does during the 9 months of pregnancy has a direct consequences on the evolution of child's brain. All the three aspects, i.e., health, values and creativity, go in conjunction in developing the child's mind. All the skills set, values and qualities which are acquired during pregnancy from the mother can be used to anticipate which education stream the child would be likely suitable to opt for in future. This prediction can be achieved with the help of different prediction algorithm of machine learning.

Pre-birth Prognostication of Education and Learning of a Fetus While in the Uterus of the Mother Using Machine Learning

Efficient Automated Processing of the Unstructured Documents using Artificial Intelligence: A Systematic Literature Review and Future Directions

School of Electronics & Communication Engineering

International Journal of Engineering Applied Science and Technology

Applications of Computer Vision in Agriculture

Fetal monitoring usually refers to monitoring fetal heart rate (FHR) for detection fetal well-being. This is important activity carried out by doctors during prepartum, intrapartum phase as per health requirement of patient. Fetal monitoring is required to reduce chances of fetal to become hypoxic (when fetal is deprived from sufficient oxygen) that can cause fetal brain injury and even fetal death. Fetal monitoring plays important role in reducing mortality and morbidity rate. The most common noninvasive fetal monitoring device is cardiotocograph (CTG). CTG captures FHR based on Doppler ultrasound principle and uterine contractions (UC) based on pressure transducers. The present study highlights accuracy limitations of CTG and proposes more accurate noninvasive fetal ECG (NIfECG) as data acquisition methods to acquire FHR and electrohysterogram (EHG) to capture UC. CTG interpretation is one of the decision-making parameters used by doctors for early intervention like caesarian section. CTG interpretation often suffers from inter-observer and intra-observer agreement of CTG patterns which are non-reassuring. To overcome this limitation, computerized analysis can be useful. The present study also discusses usage of machine learning to detect fetal compromise. Further, in addition to FHR and UC analysis, we also propose to use ST waveform analysis to improve results. © 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

Lecture Notes in Networks and Systems

Comprehensive Study of Fetal Monitoring Methods for Detection of Fetal Compromise

Coordinate Measuring Machine is used to inspect the manufactured products to ensure that they meet the desired specifications. In most of the inspection software, including PMI, the inspection process involves loading of the CAD model, selecting an inspection feature, feeding the PMI into the inspection software, and selecting an appropriate inspection strategy depending on the type of feature. Inspection results are then compared with the nominal tolerance values. This process involves the application engineer’s input at multiple stages. The automatic inspection process is becoming an important requirement in industries, which adds value to the inspection software and eliminates human intervention. In PMI-based inspection planning, the CAD model affixed with PMI is fed to the inspection software, then most of the traditional inspection steps are automated by reading and extracting PMI from the CAD model, identifying the feature associated with a PMI and then developing an inspection strategy on the identified feature. Later, results are validated by feeding the inspection points in the inspection software. © 2021, Springer Nature Singapore Pte Ltd.

School of Mechanical Engineering

Lecture Notes in Mechanical Engineering

Innovative PMI-Based Inspection Planning for Planar and Cylindrical Features

Pensee international Journal 51 (5 2021)

Design and Analysis of Lower Body Exoskeleton

International journal for research in applied science and engineering technology