Nurulaqilla Khamis
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View article: Determinants of Food Selections among International Travelers Towards Malaysian Cuisine
Determinants of Food Selections among International Travelers Towards Malaysian Cuisine Open
Food plays a crucial role in the travel experience, serving as an important aspect of destination marketing to attract international travelers to Malaysia. Therefore, this study discovers the determinants of Malaysian food selections among…
View article: Palm Oil Loose Fruit Detection Performance Comparison Based on Deep Learning Architecture
Palm Oil Loose Fruit Detection Performance Comparison Based on Deep Learning Architecture Open
View article: Enhanced Occluded Pedestrian Detection Using Multi-Level Attention Network on Infrared Imagery for Autonomous Vehicle Application
Enhanced Occluded Pedestrian Detection Using Multi-Level Attention Network on Infrared Imagery for Autonomous Vehicle Application Open
View article: Improved Crack Detection on Road Surfaces Using Modified Deep Neural Network with Image Processing Technique
Improved Crack Detection on Road Surfaces Using Modified Deep Neural Network with Image Processing Technique Open
View article: Assessing the Detection Capabilities of RGB and Infrared Models for Robust Occluded and Unoccluded Pedestrian Detection
Assessing the Detection Capabilities of RGB and Infrared Models for Robust Occluded and Unoccluded Pedestrian Detection Open
Pedestrian detection is a critical component of autonomous vehicle systems, particularly under challenging conditions where visibility may be compromised due to occlusion or low-light. This study presents a comparative analysis of RGB (vis…
View article: Documenting Geographically and Contextually Diverse Language Data Sources
Documenting Geographically and Contextually Diverse Language Data Sources Open
Contemporary large-scale data collection efforts have prioritized the amount of data collected to improve large language models (LLM). This quantitative approach has resulted in concerns for the rights of data subjects represented in data …
View article: Imbalanced data handling in multiclass distributed denial of service attack detection using deep learning
Imbalanced data handling in multiclass distributed denial of service attack detection using deep learning Open
View article: Modulated Spike-Time Dependent Plasticity (Stdp)-Based Learning for Spiking Neural Network (Snn): A Review
Modulated Spike-Time Dependent Plasticity (Stdp)-Based Learning for Spiking Neural Network (Snn): A Review Open
View article: Helping Cancer Patients to Choose the Best Treatment: Towards Automated Data-Driven and Personalized Information Presentation of Cancer Treatment Options
Helping Cancer Patients to Choose the Best Treatment: Towards Automated Data-Driven and Personalized Information Presentation of Cancer Treatment Options Open
When a person is diagnosed with cancer, difficult decisions about treatments need to be made. In this chapter, we describe an interdisciplinary research project which aims to automatically generate personalized descriptions of treatment op…
View article: Named Entity Recognition of an Oversampled and Preprocessed Manufacturing Data Corpus
Named Entity Recognition of an Oversampled and Preprocessed Manufacturing Data Corpus Open
In recent manufacturing industry, improving the manufacturing process is of paramount importance. One area that holds great potential for enhancement is the application and manipulation of maintenance data. By effectively leveraging this d…
View article: YOLO: A Competitive Analysis of Modern Object Detection Algorithms for Road Defects Detection Using Drone Images
YOLO: A Competitive Analysis of Modern Object Detection Algorithms for Road Defects Detection Using Drone Images Open
يعد التحديد الفعال لعيوب الطرق مصدر قلق بالغ لما له من اثر على السلامة على الطرق وصيانة البنية التحتية. يستخدم هذا البحث الصور الملتقطة بطائرات بدون طيار وخوارزميات متقدمة للكشف عن الأشياء لتسريع عملية التعرف على العيوب، مع التركيز بشكل خا…
View article: Deep learning approach to DDoS attack with imbalanced data at the application layer
Deep learning approach to DDoS attack with imbalanced data at the application layer Open
A distributed denial of service (DDoS) attack is where one or more computers attack or target a server computer, by flooding internet traffic to the server. As a result, the server cannot be accessed by legitimate users. A result of this a…
View article: Short Review on Palm Oil Fresh Fruit Bunches Ripeness and Classification Technique
Short Review on Palm Oil Fresh Fruit Bunches Ripeness and Classification Technique Open
High quality palm oil is critical in ensuring Malaysia’s competitiveness in the sector. Studies have shown that there is a significant relationship between the quality of palm oil produced and the ripeness of the fruits used in producing t…
View article: Electrical Machine Breakdown Monitoring System Using IoT
Electrical Machine Breakdown Monitoring System Using IoT Open
Nowadays, electrical machines of different types and designs are used in hybrid production systems. Electrical machines are needed to control and implement various mechanisms to produce final products. However, sometimes, electrical machin…
View article: BLOOM: A 176B-Parameter Open-Access Multilingual Language Model
BLOOM: A 176B-Parameter Open-Access Multilingual Language Model Open
Large language models (LLMs) have been shown to be able to perform new tasks based on a few demonstrations or natural language instructions. While these capabilities have led to widespread adoption, most LLMs are developed by resource-rich…
View article: Documenting Geographically and Contextually Diverse Data Sources: The BigScience Catalogue of Language Data and Resources
Documenting Geographically and Contextually Diverse Data Sources: The BigScience Catalogue of Language Data and Resources Open
In recent years, large-scale data collection efforts have prioritized the amount of data collected in order to improve the modeling capabilities of large language models. This prioritization, however, has resulted in concerns with respect …
View article: Development of Real-time IoT based Air and Noise Monitoring System
Development of Real-time IoT based Air and Noise Monitoring System Open
Modernization has brought the world technological advancements, but it has also brought with it a slew of problems. In today's Malaysia, air and noise pollution are becoming more of a concern, along with a rise in occupational disease. A m…
View article: Development of Water Surface Mobile Garbage Collector Robot
Development of Water Surface Mobile Garbage Collector Robot Open
This paper presents a prototype of Water Surface Mobile Garbage Collector Robot built in motivation to educate the people to love and monitor the health of our rivers by collecting the trash themselves using mobile robot. The garbage colle…
View article: Digitaization of Analogue Meter Reading Using Convolution Neural Network
Digitaization of Analogue Meter Reading Using Convolution Neural Network Open
Analogue meter is a device that has been widely used in a various industry to monitor and obtain the reading of the measurement. Based on the conventional approach, the meter reading will be done continuously by the meter reader that might…
View article: Sesak®: A Crowd Simulation Software with an Optimization Engine for a Safer Building Design
Sesak®: A Crowd Simulation Software with an Optimization Engine for a Safer Building Design Open
View article: IMU sensor-based data glove for finger joint measurement
IMU sensor-based data glove for finger joint measurement Open
The methods used to quantify finger range of motion significantly influence how hand disability is reported. To date, the accuracy of sensors being utilized in data gloves from the literature has been ascertained yet need further analysis.…
View article: Crowd Modeling and Simulation for Safer Building Design
Crowd Modeling and Simulation for Safer Building Design Open
Crowd modeling and simulation are very important in the investigation and study of the dynamics of a crowd. They can be used not only to understand the behavior of a crowd in different environments, but also in risk assessment of spaces an…
View article: Crowd Modelling Validation for Modified Social Force Model
Crowd Modelling Validation for Modified Social Force Model Open
Crowd modeling is mainly used to observe and analyze the movement pattern of the crowd, including their behavior with the influence of building geometry. It also has been used widely in many application areas such as for transportation ser…
View article: Automotive Real-Time Data Acquisition Using Wi-Fi Connected Embedded System
Automotive Real-Time Data Acquisition Using Wi-Fi Connected Embedded System Open
The advancement in embedded systems, which includes the mass deployment of internet-connected electronics, allows the concept of Internet of Things (IoT), to become a reality. This paper discusses one example of how an internet-connected e…
View article: Detection of Active Mobile Phone in Exam Hall
Detection of Active Mobile Phone in Exam Hall Open
The use of mobile phone as a cheating tool in the examination hall among students have considerably increased a burden to invigilators to ensure integrity in examination hall. Many active mobile phone detection schemes had been proposed as…
View article: Optimization of RF signal detection and alert system for restricted area
Optimization of RF signal detection and alert system for restricted area Open
This paper presents study on optimizing RF signal detection and alert system for restricted area. Nowadays, mobile phone utilization is very common among youngsters. Despite of being very useful for educational purpose, it turns into a not…
View article: Optimal Exit Configuration of Factory Layout for a Safer Emergency Evacuation using Crowd Simulation Model and Multi-Objective Artificial Bee Colony Optimization
Optimal Exit Configuration of Factory Layout for a Safer Emergency Evacuation using Crowd Simulation Model and Multi-Objective Artificial Bee Colony Optimization Open
This work aims at providing a systematic method in producing a safer and optimal factory layout based on a crowd simulation model and the multi-objective artificial bee colony optimization technique. Apart, from ensuring the efficiency of …
View article: IMPROVED CROWD PSYCHOLOGICAL MODEL AND CONTROL
IMPROVED CROWD PSYCHOLOGICAL MODEL AND CONTROL Open
The behavior of human crowd is an interesting phenomenon in which individuals are set as a collection that comprises of a highly dynamic social group. The crowd behaviors have been investigated by researchers over the years. Recent works i…
View article: Modification of Physical Force Approach for Simulating Agent Movement with Collective Behavior
Modification of Physical Force Approach for Simulating Agent Movement with Collective Behavior Open
Crowd modelling is a simulation study to know how crowd will behave in the environment. This simulation will contribute general knowledge and insight especially for safety engineers and architectural designers in assessing safety of crowd …
View article: Power Consumption Optimization of a Building Using Multiobjective Particle Swarm Optimization
Power Consumption Optimization of a Building Using Multiobjective Particle Swarm Optimization Open
This paper discusses the development of a building energy optimization algorithm by using multiobjective Particle Swarm Optimization for a building. Particle Swarm Optimization is a well known algorithm that is proven to be effective in ma…