Psychotic Motivation for Improving Student Performance Based On Pattern Learner Features Using Deep Neural Classifier for Bipolar Disorder Students

S PEERBASHA, MM SURPUTHEEN - The journal of contemporary …, 2021 - cibgp.com
Bipolar disorder is a depressive fact that makes manic illness pressures in young ages due
to the non-intensive nature of brain functions, energy levels, mood-outs, and health …

[PDF][PDF] Prediction of Academic Performance of College Students with Bipolar Disorder using different Deep learning and Machine learning algorithms

S Peerbasha, MM Surputheen - International Journal of Computer …, 2021 - koreascience.kr
In modern years, the performance of the students is analysed with lot of difficulties, which is
a very important problem in all the academic institutions. The main idea of this paper is to …

Innovative Machine Learning Algorithms for Identifying Bipolar Disorder Students and Enhancing their Academic Performance

S Peerbasha - shodhganga.inflibnet.ac.in
The main scope of the research is to identify the Bipolar Disorder (BD) students and
newlinetheir learning behaviours whereby to improve their academic performance. Bipolar …

[PDF][PDF] Accuracy enhancement with artificial neural networks for bipolar disorder prediction

N Agnihotri, SK Prasad - Indonesian Journal of Electrical …, 2023 - academia.edu
The perfect physical health and mental wellbeing is an important aspect of human kind.
Healthcare sectors involving machine learning and deep learning is providing good …

Bipolar Disease Data Prediction Using Adaptive Structure Convolutional Neuron Classifier Using Deep Learning

M Ramkumar, P Shanmugaraja, B Dhiyanesh… - International Conference …, 2023 - Springer
The symptoms of bipolar disorder include extreme mood swings. It is the most common
mental health disorder and is often overlooked in all age groups. Bipolar disorder is often …

ROBUST DEEP BELIEF NETWORK USING STUDENTS LEARNING BEHAVIOUR FOR STUDENT PERFORMANCE PREDICTION

MP Menaka, N Shanmugapriya - Journal of Pharmaceutical …, 2022 - pnrjournal.com
Advancement in educational field, it is very essential and crucial desire for most of the
educational entities to predict the student's academic performance. That is most important as …

Measuring Computational Psychometrics Analysis Motivational Level in Learner's using Different Parameters through Deep Learning Algorithm

AB Bhatia, K Mittal - Journal of Computer Science and Engineering …, 2022 - icsejournal.com
Learning is an ongoing process irrespective of age, gender and geographical location of
acquiring new understanding, knowledge, behaviours, skills, values, attitudes, and …

Analysis and countermeasures of psychological characteristics in college students' psychological education based on artificial intelligence

M Fu, W Qiao - Applied Artificial Intelligence, 2023 - Taylor & Francis
It is true that with society entering a new era, the pressure of competition for employment of
college students is increasing, and society has higher requirements for the quality of high …

Prediction of bipolar disorder from mental episodes using machine learning approach

S Tasmeem, M Rahaman, KMK Piasha, S Yasar… - 2022 - dspace.bracu.ac.bd
A precious gift to mankind is the ability to express their emotions or feelings and also to
realize. Sometimes, an omnipresent sustained feeling or emotion can dominate a person's …

Artificial intelligence approach to classify unipolar and bipolar depressive disorders

TT Erguzel, GH Sayar, N Tarhan - Neural Computing and Applications, 2016 - Springer
Abstract Machine learning approaches for medical decision-making processes are valuable
when both high classification accuracy and less feature requirements are satisfied. Artificial …