Search Results - evolution ((communication technique) OR (((computing techniques) OR (learning techniques))))

Assistive Technology For Disabilities: A Case Study Of Autism In Teaching And Learning Outcomes by Omar, Sarah, Bidin, Azman, Koo, Ah Choo

“…A number of studies have highlighted new teaching techniques. There has been a trend in moving towards e-learning technologies in (Agarwal, 2012) and (Kemp, 2015), where those strategies were part of pedagogy techniques in teaching children with special needs. …”
Get full text
Get full text

Critical review of object detection techniques for traffic light detection in intelligent transportation systems by Muhammad Adhwa, Mohd Salemi, Muhammad Arif, Mohamad

“…This study provides a critical review of object detection techniques specifically for traffic light detection, evaluating the evolution of machine learning frameworks, deep learning architectures, and hybrid optimization models. …”
Get full text
Get full text
Get full text

A New Hybrid K-Means Evolving Spiking Neural Network Model Based on Differential Evolution by Abdulrazak Yahya, Saleh, Haza Nuzly, Abdull Hamed, Siti Mariyam, Shamsuddin, Ashraf, Osman Ibrahim

“…Clustering is one of the essential unsupervised learning techniques in Data Mining. In this paper, a new hybrid (K-DESNN) approach to combine differential evolution and K-means evolving spiking neural network model (K-means ESNN) for clustering problems has been proposed. …”
Get full text
Get full text
Get full text

Object detection and classification using few-shot learning in smart agriculture: A scoping mini review by Nitiyaa Ragu, Jason Teo

“…One of the techniques that is popular is Few-Shot Learning (FSL). …”
Get full text
Get full text
Get full text
Get full text

A joint learning classification for intent detection and slot filling from classical to deep learning: a review by Muhammad Yusuf, Idris, Naomie, Salim, Anazida, Zainal, Sinarwati, Mohamad Suhaili

“…It discusses the limitations of classical models, which led to the rise of deep learning techniques, and introduces a new taxonomy for joint learning classifying joint learning architectures. …”
Get full text
Get full text
Get full text
Get full text

A survey of energy conservation techniques for mobile wireless communication devices by Chit, Suwannit Chareen

“…Mobile devices have undergone a tremendous evolution over the past two decades.Today, mobile devices are equipped with sensing, communication, computational and entertainment functionalities to deliver a myriad of services to its users.Running these functionalities, however, comes with a huge energy cost.In this paper, we survey general solutions for energy conservation in mobile devices.We classify and provide brief summaries of the energy conservation techniques based on their key research ideas. …”
Get full text
Get full text

Modeling 2D appearance evolution for 3D object categorization by Mohd Zaki, Hasan Firdaus, Shafait, Faisal, Mian, Ajmal

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

A wireless precoding technique for millimetre-wave MIMO system based on SIC-MMSE by Boby, Rounakul Islam, Abdullah, Khaizuran, Jusoh, Ahmad Zamani, Parveen, Nagma, Asnawi, Ani Liza

“…A communication method is proposed using Minimum Mean Square Error (MMSE) precoding and Successive Interference Cancellation (SIC) technique for millimetre-wave multiple-input multiple-output (mm-Wave MIMO) based wireless communication system. …”
Get full text
Get full text
Get full text
Get full text

Load balancing in 4G long term evolution / Marvin Hendary by Hendary, Marvin

“…Long Term Evolution (LTE) and LTE-Advanced is the next major step towards 4th generation of mobile communications. …”
Get full text
Get full text

A gamified augmented reality application for human-machine interaction in CNC milling machine by Abd Rani, Nadia Hanim

“…Human-machine interaction (HMI) is an interaction and communication between human and a machine, a dynamic technical system and it is the methodology for evaluation of user interface techniques. …”
Get full text
Get full text
Get full text

Email spam classification based on deep learning methods: A review by Tusher, Ekramul Haque, Mohd Arfian, Ismail, Anis Farihan, Mat Raffei

“…Deep learning has become a potent collection of techniques for addressing intricate issues such as spam classification in recent times. …”
Get full text
Get full text
Get full text
Get full text

PMT : opposition based learning technique for enhancing metaheuristic algorithms performance by Hammoudeh, S. Alamri

“…Addressing these OBL limitations, this research proposes a new general OBL technique inspired by a natural phenomenon of parallel mirrors systems called the Parallel Mirrors Technique (PMT). …”
Get full text
Get full text

Navigating challenges and opportunities of machine learning in hydrogen catalysis and production processes: Beyond algorithm development by Salehmin M.N.I., Tiong S.K., Mohamed H., Umar D.A., Yu K.L., Ong H.C., Nomanbhay S., Lim S.S.

“…This review uniquely focuses on harnessing the synergy between ML and computational modeling (CM) or optimization tools, as well as integrating multiple ML techniques with CM, for the synthesis of diverse hydrogen evolution reaction (HER) catalysts and various hydrogen production processes (HPPs). …”

Digital image watermarking, analysis of current methods by Mohammed, Ghassan N., Yasin, Azman, Zeki, Akram M.

Get full text
Get full text
Get full text

أثر استخدام تقنيات التعليم ووسائل الاتصال الحديثة في بيئة الاتصال المدرسي:دراسة على المدارس الحكومية في إمارة أبو طبي... by Noura Khamis Abdulla Ali Al-naqbi

Concept Drift Evolution In Machine Learning Approaches: A Systematic Literature Review by Hashmani, M.A., Jameel, S.M., Rehman, M., Inoue, A.

Get full text
Get full text

Artificial neural network learning enhancement using Artificial Fish Swarm Algorithm by Hasan, Shafaatunnur, Tan, Swee Quo, Shamsuddin, Siti Mariyam, Sallehuddin, Roselina

“…Artificial Neural Network (ANN) is a new information processing system with large quantity of highly interconnected neurons or elements processing parallel to solve problems.Recently, evolutionary computation technique, Artificial Fish Swarm Algorithm (AFSA) is chosen to optimize global searching of ANN.In optimization process, each Artificial Fish (AF) represents a neural network with output of fitness value.The AFSA is used in this study to analyze its effectiveness in enhancing Multilayer Perceptron (MLP) learning compared to Particle Swarm Optimization (PSO) and Differential Evolution (DE) for classification problems.The comparative results indeed demonstrate that AFSA show its efficient, effective and stability in MLP learning.…”
Get full text
Get full text
Get full text

Japanese computer-aided learning package / Siti Nur Hidayah Johar by Siti Nur Hidayah , Johar

“…NihonGo was developed using incremental evolution through rapid prototyping technique. The development tool used include Visual Basic.NET, Microsoft Access 2003, Adobe Photoshop CS, and Macromedia Flash MX 2004 and so on. …”
Get full text
Get full text

Performance analysis of LTE codes system using various modulation techniques by Khalifa, Othman Omran, Ahmed, Zahradden, Esgiar, Abdelrahim N, Saeed, Rashid A., Hassan Abdalla Hashim, Aisha

“…Modulation techniques is crucial in communications networking due to the advancement in technologies and users demands such as high data rate, low latency and good quality of services. …”
Get full text
Get full text
Get full text
Get full text
Get full text
Get full text

Fundamental design aspects of UAV-enabled MEC systems: a review on models, challenges, and future opportunities by Adnan, Mohd Hirzi, Ahmad Zukarnain, Zuriati, Ahmed Amodu, Oluwatosin

“…The ability to deploy edge servers at different points across a content delivery network that can offer communication and computing services close to mobile user devices is one of the main factors driving the evolution of MEC. …”
Get full text
Get full text
Get full text