Search Results - (( things application using algorithm ) OR ( java application tree algorithm ))

Separator Database and SPM Tree Framework for Mining Sequential Patterns Using Prefixspan with Pseudoprojection by Saputra , Dhany, Rambli, Dayang R.A., Foong, Oi Mean

Get full text
Get full text

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

“…Using the J48 tree algorithm implemented through WEKA API on a Java Servlet, data provided is processed to derive a health index of the plant, with the possible outcomes set to “Good,” “Okay”, or “Bad”. …”
Get full text
Get full text
Get full text

Mining Sequential Patterns using I-PrefixSpan by Saputra , Dhany, Dayang R.A. Rambli, Foong, Oi Mean

Get full text
Get full text

Adoption of machine learning algorithm for analysing supporters and non supporters feedback on political posts / Ogunfolajin Maruff Tunde by Ogunfolajin Maruff , Tunde

“…This thesis is based on the application of sentiment classification algorithm to tweet data with the goal of classifying messages based on the polarity of sentiment towards a particular topic (or subject matter). …”
Get full text
Get full text
Get full text

Intelligent Multi-cellular Network Connectivity for Internet of Things Applications by Gsangaya K.R., Hajjaj S.S.H., Hashim W., Razali R.A.

Intrusion detection system for the internet of things based on blockchain and multi-agent systems by Liang, Chao, Shanmugam, Bharanidharan, Azam, Sami, Karim, Asif, Islam, Ashraful, Zamani, Mazdak, Kavianpour, Sanaz, Idris, Norbik Bashah

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

Mining Sequential Patterns Using I-PrefixSpan by Dhany , Saputra, Rambli Dayang, R.A., Foong, Oi Mean

“…In this paper, we propose an improvement of pattern growth-based PrefixSpan algorithm, called I-PrefixSpan. The general idea of I-PrefixSpan is to use the efficient data structure for general tree-like framework and separator database to reduce the execution time and memory usage. …”
Get full text
Get full text
Get full text

Security factors based evaluation of verification algorithm for an IoT access system by Al-Ghaili A.M., Kasim H., Othman M., Hassan Z.

Efficient tag grouping RFID anti-collision algorithm for internet of things applications based on improved k-means clustering by Umelo, Nnamdi Henry, Noordin, Nor Kamariah, A. Rasid, Mohd Fadlee, Tan, Kim Geok, Hashim, Fazirulhisyam

“…In the initialization stage, the reader uses improved K-means clustering running concurrently with a tag counter algorithm to cluster tags into K groups using tags RN16 while the counter returns an accurate tag number estimate. …”
Get full text
Get full text

Efficient Implementation of 2D Barcode Verification Algorithm for IoT Applications by Al-Ghaili A.M., Abdul Rahim F., Azman F., Kasim H.

AI powered asthma prediction towards treatment formulation: an android app approach by Murad, Saydul Akbar, Adhikary, Apurba, Md Muzahid, Abu Jafar, Sarker, Md Murad Hossain, Khan, Md. Ashikur Rahman, Hossain, Md. Bipul, Bairagi, Anupam Kumar, Masud, Mehedi, Kowsher, Md

“…We utilized eight robust machine learning algorithms to analyze this dataset. We found that the Decision tree classifier had the best performance, out of the eight algorithms, with an accuracy of 87%. …”
Get full text
Get full text
Get full text

Smart verification algorithm for IoT applications using QR tag by Al-Ghaili A.M., Kasim H., Rahim F.A., Ibrahim Z.-A., Othman M., Hassan Z.

Algebraic Operations-Based Secret-Key Design for Encryption Algorithm (ASKEA) for Energy Informatics and Smart Internet of Things (IoT) Applications by Al-Ghaili A.M., Kasim H., Omar R., Hassan Z., Al-Hada N.M., Wang J.

AI powered asthma prediction towards treatment formulation : An android app approach by Murad, Saydul Akbar, Adhikary, Apurba, Muzahid, Abu Jafar Md, Sarker, Md. Murad Hossain, Khan, Md. Ashikur Rahman, Hossain, Md. Bipul, Bairagi, Anupam Kumar, Masud, Mehedi, Kowsher, Md.

“…We utilized eight robust machine learning algorithms to analyze this dataset. We found that the Decision tree classifier had the best performance, out of the eight algorithms, with an accuracy of 87%. …”
Get full text
Get full text
Get full text

A wireless interference-aware internet-of-things gateway placement framework with genetic algorithm approach by Kong, Zan Wai

Get full text
Get full text

Real-time time series error-based data reduction for internet-of-things applications by Wong, Siaw Ling

Get full text
Get full text

Extended RECTANGLE Algorithm Using 3D Bit Rotation to Propose a New Lightweight Block Cipher for IoT by Zakaria, Abdul Alif, Azni, A. H., Ridzuan, Farida, Zakaria, Nur Hafiza, Daud, Maslina

Development of Image Recognition for Underwater Vehicle Applications by Syed Abdul Hamid , Syed Mohamad Shazali, Mohd Aras, Mohd Shahrieel, Ali, Fara Ashikin, Anuar , Mohamed Kassim, Abdul Azis, Fadilah

“…It is also expected to recognize biological underwater object to support on deck auto monitoring system. The developed algorithm will be used to recognize relevant underwater object or living thing. …”
Get full text
Get full text
Get full text

Internet of Things (IoT) intrusion detection by Machine Learning (ML): a review by Dehkordi, Iman Farhadian, Manochehri, Kooroush, Aghazarian, Vahe

Get full text
Get full text
Get full text

Modified Data Encryption Standard Algorithm for Textbased Applications by Mohamed Khmag, Asem Ib.

“…Because of its short time execution and higher authentication, using this algorithm will ensure the security for internet applications.…”
Get full text
Get full text