Search Results - (( variable detection through algorithm ) OR ( java application reoptimize algorithm ))

Minimization of Test Cases and Fault Detection Effectiveness Improvement through Modified Reduction with Selective Redundancy Algorithm by Nikfal, Shima

Get full text
Get full text

Enhancement of Space-Time Receiver Structure with Multiuser Detection for Wideband CDMA Communication Systems by Subramaniam, Jeevan Rao

“…Multiuser detection and smart antenna technologies are capable of increasing the system capacity through mitigation of such impairment. …”
Get full text
Get full text

Predicting Survey Responses: How and Why Semantics Shape Survey Statistics on Organizational Behaviour by Jan, Ketil Arnulf, Kai, Rune Larsen, Øyvind, Lund Martinsen, Bong, Chih How

“…Some disciplines in the social sciences rely heavily on collecting survey responses to detect empirical relationships among variables. We explored whether these relationships were a priori predictable from the semantic properties of the survey items, using language processing algorithms which are now available as new research methods. …”
Get full text
Get full text
Get full text

DESIGN OF SMART TRAFFIC LIGHT SYSTEM BASED ON INTERNET OF THINGS by MUHAMMAD AMIR AFIQ, MOHAMED

“…Density of the traffic is calculated by the algorithm that have various variables. This project will use Arduino as it microcontroller and the ultrasonic is used to detect the congestion. …”
Get full text
Get full text

Fuzzy Adaptive Tuning of a Particle Swarm Optimization Algorithm for Variable-Strength Combinatorial Test Suite Generation by Kamal Z., Zamli, Ahmed, Bestoun S., Mahmoud, Thair, Afzal, Wasif

“…We detail the design of this combined algorithm and evaluate it through experiments on multiple synthetic and benchmark problems. …”
Get full text
Get full text
Get full text

Modelling and analysis of sensor fault tolerant control using behavioral approach to systems theory by Ng, Peng Hong

“…Mathematical models of the plants are first derived through the description of the manifest behavior by elimination of the latent variables via a systematic algorithm. …”
Get full text
Get full text
Get full text

Detection of leak size and its location in a water distribution system by using K-NN / Nasereddin Ibrahim Sherksi by Sherksi, Nasereddin Ibrahim

“…The successfully achieved four set objectives inclusive of (1) a new classification model to detect water leakage, (2) analysis of the effects of leakage size on the variables within a WDS, i.e. flow, pressure, pipe volume, velocity and water demand, (3) locating and specifying the leakage size in the WDS, and (4) evaluate the performance of the designed K-NN algorithm for accurate leak detection. …”
Get full text
Get full text

Analyzing land surface temperature in response to massive urbanization by using single window algorithm in Penang Island / Ainna Naeemah Zainal Abidin by Zainal Abidin, Ainna Naeemah

“…Next will be the extraction of Land Surface Temperature (LST) by using Spectral Radiance Model and Single Window Algorithm through the satellite imagery. Last objectives will be the analysis on the relationship between the dependent and independent variables that be made through the correlation coefficient analysis. …”
Get full text
Get full text

Cross-domain analysis of YOLOv8 and faster R-CNN models for enhanced precision in maritime object detection by Zainal Abidin, Zulkifli, Norazaruddin, Muhammad Aiman, Tengku Anuar, Tengku Aizat

“…Recent advancements in machine vision, particularly through Convolutional Neural Networks (CNNs), have significantly improved object detection in maritime environments. …”
Get full text
Get full text
Get full text
Get full text

A real-time integrated fire detection and alarm (FDA) system for network based building automation by Anwar, Farhat, Islam, Rounakul, Hussain, Sabahat, Rashid, Muhammad Mahbubur, Shaikh, Zuhaib

“…The framework shares information through the algorithm and communicates with each fire alarm panels connected in peer to peer configuration to declare the network state in every second using network address. …”
Get full text
Get full text
Get full text

Predicting Cheaters in PlayerUnknown’s Battlegrounds (PUBG) using Random Forest Algorithm by Nurin Alya, Haris

“…Patterns and relationships between input variables and cheating behaviours are analysed through the application of supervised learning techniques, specifically a classification model. …”
Get full text
Get full text
Get full text

Embedded mini-analyzer device for in situ wide range heavy metal identification and concentration detection by Mazaheri, Amin

“…To achieve the ability of in-situ processing of detection, embedded algorithms like digital FIR filter, multiple peaks finding, peaks classification and linear regressions have been implemented on an ARM processor. …”
Get full text
Get full text

Heartbeat Anomaly Detection Method Based on Electrocardiogram using Improved Certainty Cognitive Map by Sumiati, .

“…This research has 3 objectives To develop algorithms for detecting heart conditions as either abnormal or normal using the modified cognitive map (CM) approach, To develop detection algorithms for anomalous heart conditions based on the enhancement of Certainty Factor (CF) technique, and To evaluate and validate the effectiveness of the new proposed model specifically the Certainty Cognitive Map (CCM) for identifying heart defects. …”
Get full text
Get full text
Get full text
Get full text

HABC: Hybrid artificial bee colony for generating variable T-way test sets by Alazzawi, A.K., Rais, H.M., Basri, S.

“…This paper proposed a hybrid artificial bee colony (HABC) strategy based on the hybrid artificial bee colony algorithm and practical swarm optimization to generate optimal test suite of variable strength interaction. …”
Get full text
Get full text

HABC: Hybrid artificial bee colony for generating variable T-way test sets by Alazzawi, A.K., Rais, H.M., Basri, S.

“…This paper proposed a hybrid artificial bee colony (HABC) strategy based on the hybrid artificial bee colony algorithm and practical swarm optimization to generate optimal test suite of variable strength interaction. …”
Get full text
Get full text

Multi-sensor fusion and deep learning framework for automatic human activity detection and health monitoring using motion sensor data / Henry Friday Nweke by Henry Friday , Nweke

“…Human activity detection through fusion of multimodal sensors are vital steps to achieve automatic and comprehensive monitoring of human behaviours, build smart home systems and detect sports activities. …”
Get full text
Get full text
Get full text

Detection and Classification of Moving Objects for an Automated Surveillance System by Md. Tomari, Mohd Razali

“…This thesis focuses on a method to detect and classify a moving object that pass through the surveillance area boundary. …”
Get full text
Get full text

Detection and classification of moving objects for an automated surveillance system by Md Tomari, Mohd Razali

“…This thesis focuses on a method to detect and classify a moving object that pass through the surveillance area boundary. …”
Get full text
Get full text

Google the earth: what's next? by Mansor, Shattri

“…Technologically, the challenge is to design sensors that exhibit high sensitivity to the parameters of interest while minimizing instrument noise and impacts of other natural variables. The scientific challenge is to develop retrieval algorithms that describe the physical measurement process in sufficient detail, yet are simple enough to allow robust inversion of the remotely sensed signals. …”
Get full text
Get full text
Get full text

Random Amplified Polymorphic DNA Analysis of Four Breeds of Sheep in Malaysia by Vijaya Kumar

“…Primer OPD-11 detected the highest variance among individuals (91.08%) while primer BRL-02 detected the lowest variance among individuals (8.46%). …”
Get full text
Get full text