Search Results - (( java application sensor algorithm ) OR ( using composition tools algorithm ))

Study and Implementation of Data Mining in Urban Gardening by Mohana, Muniandy, Lee, Eu Vern

“…The process begins through the monitoring of plants using sensors connected to the Arduino device. Attached sensors generate data and send these data to the Java Servlet application through a WIFI module. …”
Get full text
Get full text
Get full text

Design Of Robot Motion Planning Algorithm For Wall Following Robot by Ali Hassan, Muhamad Khairul

Get full text
Get full text

Tool wear prediction models during end milling of glass fibre-reinforced polymer composites by Azwan Iskandar, Azmi, Lin, Richard J.T., Bhattacharyya, Debes

Get full text

Development of a novel natural frequencies prediction tool for laminated composite plates using integrated artificial neural network (ANN) - simulink MATLAB / Mohd Arif Mat Norman by Mat Norman, Mohd Arif

“…The prediction tool utilises an Artificial Neural Network (ANN) with a two-layer feed-forward algorithm and ten hidden layers, using Levenberg-Marquardt as the training algorithm. …”
Get full text
Get full text

Human activity recognition via accelerometer and gyro sensors by Tee, Jia Lin

“…To implement the data engineering system proposed, two mobile applications, SensorData and SensorDataLogger with user-friendly interfaces and intuitive functionalities are developed using Java programming language and Android Studio. …”
Get full text
Get full text

Optimal QoS aware multiple paths web service composition using heuristic algorithms and data mining techniques by Qtaish, Osama Kayed Taher

“…The goal of QoS-aware service composition is to generate optimal composite services that satisfy the QoS requirements defined by clients. …”
Get full text
Get full text
Get full text
Get full text

Producer gas composition prediction using artificial neural network algorithm / Mohd Mahadzir Mohammud ... [et al.] by Mohammud, Mohd Mahadzir, Mohamad Bakre, Muhammad Syaham, Mohd Fohimi, Nor Azirah, Rabilah, Rosniza, Ahmad, Muhammad Iqbal

“…It is then used to predict the output gas composition from the parameters of a gasification experiment that has been used before in UiTM’s laboratory. …”
Get full text
Get full text
Get full text

Data Analysis and Machine Learning Algorithms Evaluation for Bioliq AI-based Predictive Tool by Samuel Simbine, Augusto

“…This final year project identified relevant parameters through literature research, analysis and expert interview, and evaluated different machine learning algorithms and identified linear regression as the most applicable and efficient with its R-square of 0.8015, qualifying it to be used for the development of a hybrid model for the AI-based tool for predictive process optimization for chemical plants.…”
Get full text
Get full text

A concentration prediction-based crop digital twin using nutrient co-existence and composition in regression algorithms by Ghazvini, Anahita, Mohd Sharef, Nurfadhlina, Balasundram, Siva Kumar, Lee, Lai Soon

“…This research embarks on an exploration of the synergy between precision agriculture, crop modeling, and regression algorithms to create a digital twin for farmers to augment the concentration and composition prediction-based crop nutrient recovery. …”
Get full text
Get full text
Get full text

A concentration prediction-based crop digital twin using nutrient co-existence and composition in regression algorithms by Mohd Sharef, Nurfadhlina, Balasundram, Siva Kumar, Lai, Soon Lee, Ghazvini, Anahita

“…This pa-per presents two approaches, namely, (i) single-nutrient concentration prediction and (ii) nutrient composition concentration prediction, which is the result of a predictive digital twin case study that employs six regression algorithms, namely, Elastic Net, Polynomial, Stepwise, Ridge, Lasso, and Linear Regression, to predict rice nutrient content efficiently, particularly considering the co-existence and composition of multiple nutrients. …”
Get full text
Get full text
Get full text

Numerical simulation of hybrid composite tubes under oblique compression by Ismail, Al Emran, Nezere, N.

“…Generally, empty metallic tubes are used, and it is found that the energy absorption capability is lower than the energy obtained using composite materials. …”
Get full text
Get full text
Get full text

Statistical modeling of the electromechanical behaviour of BI-2223 composite wires by Muhammad Faris Fuaad

Hybrid scheme for the prediction of microstructural features of ferritic stainless steel welds by Amuda, Muhammed Olawale Hakeem, Mridha, Shahjahan

“…There is an increasing use of predictive tools in modeling microstructural features of welds towards eliminating weld defects and optimizing mechanical properties. …”
Get full text
Get full text

An Automated Summarization Assessment Algorithm for Identifying Summarizing Strategies by Abdi, A., Idris, N., Alguliyev, R.M., Aliguliyev, R.M.

“…We then implemented the algorithm for the automated summarization assessment system that can be used to identify the summarizing strategies used by students in summary writing.…”
Get full text
Get full text

HOLE ANALYSIS OF CARBON FIBER REINFORCED POLYMER (CFRP) LAMINATES STACK DRILLING IN AN AIRCRAFT APPLICATION by MOHD YAZIT, LUKMAN NULHAKIM

“…The mechanical drilling on laminate stacks composite material is focuses mainly on drill mechanism, cutting parameter, tool types, drill tool geometry and material. …”
Get full text
Get full text

Experimental Investigation and Optimization of Minimum Quantity Lubrication for Machining of AA6061-T6 by Najihah, Mohamed, M. M., Rahman, K., Kadirgama

“…Three types of tools are used in this experiment, namely, uncoated carbide tools and two coated carbide tools. …”
Get full text
Get full text
Get full text

Non-velocity based analysis of passive ultrasonic signal for source location detection in composite plates: a pilot study by Z. M., Hafizi, Epaarachchi, J., Che Ku Eddy Nizwan, Che Ku Husin, Lau, K. T.

“…A linear source location algorithm utilizing AE signals energy attenuation patterns was developed and tested for the composite specimen. …”
Get full text
Get full text
Get full text

Optimizing Neural Network Prediction of Composite Fatigue Life Under Variable Amplitude Loading Using Bayesian Regularization by Megat-Yusoff, Puteri Sri Melor

“…Artificial neural networks (ANN) can provide new insight into the study of composite materials and can normally be combined with other artificial intelligence tools such as expert system, genetic algorithm, and fuzzy logic. …”
Get full text
Get full text

A comparative study on various ANN optimization algorithms for magnetorheological elastomer carbonyl iron particle concentration estimation by Kasma Diana, Saharuddin, Mohd Hatta, Mohammed Ariff, Bahiuddin, Irfan, Nurhazimah, Nazmi, Mohd Azizi, Abdul Rahman, Mohd Ibrahim, Shapiai, Fauzan, Ahmad, Sarah Atifah, Saruchi

“…Therefore, this paper proposed a carbonyl iron particle (CIP) concentration based MRE prediction model using neural network algorithm. Neural network-based machine learning model is more approachable compared to conventional mathematical modelling approach due to easily identify trends and pattern while handling multi-variety data. …”
Get full text
Get full text
Get full text

Predicting the optimum compositions of a transdermal nanoemulsion system containing an extract of Clinacanthus nutans leaves (L.) for skin antiaging by artificial neural network mo... by Che Sulaiman, Intan Soraya, Basri, Mahiran, Masoumi, Hamid Reza Fard, Ashari, Siti Efliza, Basri, Hamidon, Ismail, Maznah

Get full text
Get full text
Get full text