Search Results - (( developing social normalization algorithm ) OR ( java implication tree algorithm ))

Text normalization algorithm for facebook chats in Hausa language by Jaafar, Zubairu Maitama, Haruna, Usman, Gambo, Abdullahi Ya'u, Thomas, Bimba Andrew, Idris, Norisma, Ya’u Gital, Abdulsalam, Abubakar, Adamu

“…The proposed algorithm manually developed dictionary that employ normalization of each non-standard word with its equivalent standard word. …”
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A new algorithm for normal and large-scale optimization problems: Nomadic People Optimizer by Alsewari, Abdul Rahman Ahmed, Sinan, Q. Salih

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Hardware Simulator for Seizure, Preseizure and Normal Mode Signal Generation in LabVIEW Environment for Research by Qidwai, Uvais, Malik, Aamir Saeed, Shakir, Mohamed, Kamel, Nidal

“…Currently numerous theories and model have been developed to associate various findings or in relating EEG patterns to develop a software simulator. …”
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Smart object detection using deep learning algorithm and jetson nano for blind people by Tan, Mei Yan, Anis Farihan, Mat Raffei, Mohd Arfian, Ismail

“…Visual impairment may cause people difficulties with normal daily activities such as driving, reading, socializing and walking. …”
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Modelling of multi-robot system for search and rescue by Poy, Yi Ler

“…This report focusses on developing a novel multi-robot path planning algorithm based on the Modified Particles Swarm Optimization (MPSO) algorithm for dynamic environments. …”
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Design and development of elective courses recommender system (ECORS) by Eng, Pei Wen

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Assistive technology : Sign language translation application for hearing-impaired communication / Muhammad Amin Naim Ab Karim by Ab Karim, Muhammad Amin Naim

“…Therefore, the proposed application proved can be beneficial to the normal and hearing-impaired people by improving the social interaction and also can motivate other developers to help contribute for more future projects to help the hearing-impaired people.…”
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Improved abnormal detection using self-adaptive social force model for visual surveillance by Wan Nur Azhani, W. Samsudin

“…For both indoor and outdoor scene, the proposed algorithm outperforms the other methods with accuracy 97% and 100%. …”
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Fuzzy Evaluation and Benchmarking Framework for Robust Machine Learning Model in Real-Time Autism Triage Applications by Shayea G.G., Zabil M.H.M., Albahri A.S., Joudar S.S., Hamid R.A., Albahri O.S., Alamoodi A.H., Zahid I.A., Sharaf I.M.

Crowd behavior monitoring using self-adaptive social force model by Wan Nur Azhani, W. Samsudin, Kamarul Hawari, Ghazali

“…This work aims to develop a crowd behavior monitoring system using Self-Adaptive SFM. …”
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Risk management credit scoring prediction using sentiment analysis by Chew, Chun Phang

“…The project adopts a development-based approach with field of data science, leveraging NLP techniques and classification algorithms to seamlessly integrate sentiment-derived features with conventional credit scoring attributes. …”
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Development of a lower-extremities exoskeleton for postural-sway in sit-to-stand movement by Lee, Jun Han

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IoT-Enabled Waste Tracking and Recycling Optimization : Enhancing Sustainable Waste Management by Eugine Teh, Yin Jie, Chee Soon, Chong, Rozaimi, Ghazali, Hazriq Izzuan, Jaafar, Muhamad Fadli, Ghani, Howe Cheng, Teng, Nur Farhanah, Zulkipli, Siaw Hong, Liew

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Land use evaluation for Kuala Selangor, Malaysia using remote sensing and GIS technologies by Nedal A Mohammad, Sharifah Mastura SA , Johari Mat Akhir

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Machine Learning based Predictive Modelling of Cybersecurity Threats Utilising Behavioural Data by Ting, Tin Tin, Khiew, Jie Xin, Ali Aitizaz, Lee, Kuok Tiung, Teoh, Chong Keat, Hasan Sarwar

“…To stop the increase in cybercrimes, everyone, including normal citizens, needs to know how secure they are while using digital appliances. …”
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A coherent knowledge-driven deep learning model for idiomatic - aware sentiment analysis of unstructured text using Bert transformer by Bashar M. A., Tahayna

“…Therefore, we automated the development of such resources at scale to alleviate the lag time and the cost normally associated with their procurement. …”
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Incremental learning for large-scale stream data and its application to cybersecurity by Ali, Siti Hajar Aminah

“…It is because recently the spammers and attacker had improved their strategy so that the malicious email and the DDoS packets are hardly able to be differentiated with the normal email and data packets. Once the Social Engineering is used by the spammers to create relevant email content in the malicious spam email and when a new campaign of DDoS attack is launched by the attacker, no normal users are capable to distinguish the benign and malicious email or data packets. …”
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