Search Results - (( developing modeling emotion algorithm ) OR ( java implication based algorithm ))

An enhanced computational model based on social spider optimisation algorithm for EEG- based emotion recognition by Al-Qammaz, Abdullah Yousef Awwad

Get full text
Get full text
Get full text
Get full text

Quantum-inspired associative memories for incorporating emotion in a humanoid / Naoki Masuyama by Naoki, Masuyama

“…In regards to the ability improvements in terms of memory capacity and noise tolerance, the quantum-inspired hetero-association models with batch/incremental learning algorithm are developed based on QHAM. …”
Get full text
Get full text

Deep learning based emotion recognition for image and video signals: matlab implementation by Ashraf, Arselan, Gunawan, Teddy Surya, Kartiwi, Mira

“…The introduction of deep learning procedures like the Convolutional Neural Networks (CNN) has made emotion recognition achieve promising outcomes. This book is carried out to develop an image and video-based emotion recognition model using CNN for automatic feature extraction and classification with Matlab sample codes. …”
Get full text
Get full text

Multichannel optimization with hybrid spectral- entropy markers for gender identification enhancement of emotional-based EEGs by Al-Qazzaz, Noor Kamal, Sabir, Mohannad K., Mohd Ali, Sawal Hamid, Ahmad, Siti Anom, Grammer, Karl

“…Firstly, it aims to use both linear and nonlinear features of EEG signals to identify emotional influences on gender behavior. Secondly, it aims to develop an automatic gender recognition model by employing optimization algorithms to identify the most effective channels for gender identification from emotional-based EEG signals. …”
Get full text
Get full text

Text-based emotion prediction system using machine learning approach by Ahmad Fakhri, Ab. Nasir, Eng, Seok Nee, Chun, Sern Choong, Ahmad Shahrizan, Abdul Ghani, Anwar, P. P. Abdul Majeed, Asrul, Adam, Mhd, Furqan

“…The model was developed based on Ekman’s six basic emotions which are anger, fear, disgust, joy, guilt and sadness. …”
Get full text
Get full text
Get full text
Get full text

Enhanced emotion recognition in videos: a convolutional neural network strategy for human facial expression detection and classification by Ashraf, Arselan, Gunawan, Teddy Surya, Arifin, Fatchul, Kartiwi, Mira, Sophian, Ali, Habaebi, Mohamed Hadi

“…The model's generalization performance is assessed using images from the Warsaw Set of Emotional Facial Expression Pictures (WSEFEP) and Extended Cohn-Kanade Database (CK+) datasets. …”
Get full text
Get full text
Get full text
Get full text

Risk perception modeling based on physiological and emotional responses / Ding Huizhe by Ding , Huizhe

“…This research aims to develop models for objectively assessing perceived risk. …”
Get full text
Get full text
Get full text

The design for antrophomorphic sociable agent interaction through emotion detection by Ab. Aziz, Azizi, Siraj, Fadzilah, Sainin, Mohd Shamrie, Mohd Hassin, Mohd Hafiz

“…This research works addresses on faces features through simulation of anthropomorphic agent.A salience feature of this definition of emotion is described in terms of goals and roles.Therefore, it provides a basic framework of goal-driven processing, which is to investigate computational models of emotion.The main goal of this research is to provide a natural interaction scheme where the affective interaction emotive state of the user can be identified.One aspect of developing such a capability is the ability of the system to recognize emotional state using intelligent supervised learning algorithms, personality of the user and respond appropriately.An anthropomorphic agent will serve to express the reaction through affective feedback given. …”
Get full text
Get full text

Development of Image-Based Emotion Recognition using Convolutional Neural Networks by Latif, Atiya, Gunawan, Teddy Surya, Kartiwi, Mira, Arifin, Fatchul, Mansor, Hasmah

“…This paper presented the development of emotion recognition using Convolutional Neural Networks (CNN) on image input. …”
Get full text
Get full text
Get full text
Get full text
Get full text

An AI Chatbot for personalized music recommendations based on user emotions / Rula M Ali Farkash and Tengku Zatul Hidayah Tengku Petra by Ali Farkash, Rula M, Tengku Petra, Tengku Zatul Hidayah

“…These results show that the models are learning effectively and can successfully recommend music based on user emotions.…”
Get full text
Get full text

The implications for ahybrid detection technique against malicious sqlattacks on web applications by Bahjat Arif, Sarajaldeen Akram, Wani, Sharyar

Get full text
Get full text
Get full text

Modeling heterogeneous behaviors with different strategies in a terrorist attack by Le Bi, Tingting Liu, Zhen Liu, Jason Teo, Yumeng Zhao, Yanjie Chai

“…We constructed an emotional model that integrated personality and visual perception for pedestrians. …”
Get full text
Get full text
Get full text

Development of intelligent telegram Chatbot using natural language processing by Gunawan, Teddy Surya, Babiker, Asaad Balla Falelmula, Ismail, Nanang, Effendi, Mufid Ridlo

“…First, text processing using Telegram API on Python was developed. Next, emotion recognition was performed on the recorded chats. …”
Get full text
Get full text
Get full text
Get full text
Get full text

Mobile app of mood prediction based on menstrual cycle using machine learning algorithm / Nur Hazirah Amir by Amir, Nur Hazirah

“…With this project creates a mobile app that analyse the mood pattern which also correspond with menstrual cycle to be able to predict mood. The development model used for this project is Agile model development cycle. …”
Get full text
Get full text

Detecting emotions and depression through voice by Gunawan, Teddy Surya

“…A deep learning algorithm can detect emotion, including depression, using a voice signal. …”
Get full text
Get full text

Gender identification of children using hidden Markov model based on Mel-frequency cepstral coefficient / Adira Ibrahim by Adira, Ibrahim

“…This project aims to develop a system that can identify gender of speakers based on speech signal using Hidden Markov Model (HMM) as a recognizer. …”
Get full text
Get full text

Sentiment analysis of restaurant reviews in Kuala Terengganu based on K-Nearest Neighbor/ Siti Syazwana Jafri by Jafri, Siti Syazwana

“…The study will be identified sentiment analysis tasks based on the classification model. A classifier will be designed and developed which is K- Nearest Neighbor (KNN). …”
Get full text
Get full text

Personalized Recommendation Classification Model of Students’ Social Well-being Based on Personality Trait Determinants Using Machine Learning Algorithms by Rochin Demong, Nur Atiqah, Shahrom, Melissa, Abdul Rahim, Ramita, Omar, Emi Normalina, Yahya, Mornizan

“…This article will discuss the development of an adaptive personalized recommendation classification model for students’ social well-being based on personality trait determinants. …”
Get full text
Get full text
Get full text
Get full text

Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method by Ashraf Saleh Mohammad Alomoush

GLCM correlation approach for blood vessel identification in thermal image by Rusli, Nazreen, Md Yusof, Hazlina, Sidek, Shahrul Na'im, Ishak, Nor Izzati

“…In this work, healthy children were assigned as subjects prior to the development of the algorithm for thermal imaging analysis to form a reference model. …”
Get full text
Get full text
Get full text
Get full text
Get full text