Dr. Lorita Angeline

Dr. Lorita Angeline

Fakulti Kejuruteraan, UMS

Dr. Lorita Angeline is a distinguished researcher at Fakulti Kejuruteraan, University Malaysia Sabah. Their research focuses on Machine Learning, Data Mining, Artificial Intelligence, Intelligent Transportation System, Image Processing .

As a member of Fakulti Kejuruteraan, they contribute significantly to the academic and research community at UMS through their expertise and dedication to advancing knowledge in their field.

Dr. Lorita Angeline holds Doktor Falsafah (Ph.D) from Lain-lain and has established themselves as a respected expert in their field.

Research

Projects

4

Active

3

Grants

RM 525,738.00


Research Interests & Expertise

No expertise areas available

Publications

Total Publications by Year


Scopus Metrics

Scopus Profile

Documents

39

H-Index

10

Citations

261

Affiliation

Universiti Malaysia Sabah

Research listing

Current Research Projects

Petronas advanced analytics framework for resource optimization (petro-afro framework): driving operational excellence through data science and artificial intelligence

Member

2024 - 2027

Vehicular network modelling using simulation of urban mobility (sumo) for traffic network route planning

Member

2024 - 2027

Kajian pasaran trend pendengar, kerelevanan radio di sabah dan potensi umsfm

Member

2024 - 2026

Publications listing

NOTE: PUBLICATION DATA FOR THE LAST 3 YEARS WILL BE DISPLAYED

Showing 1 to 5 of 5 entries

1.

Mazlina Binti Mamat , Lorita Angeline (2026), Multi-space Color Histogram Feature Fusion For Non-destructive Milk Quality Assessment In Visually Homogeneous Liquids

2.

Ervin Gubin Moung , Lim Kit Guan , Lorita Angeline , Kenneth Teo Tze Kin (2026), Energy-efficient Multi-hop Lora Communication In Forested Environments Via Proximal Policy Optimization

3.

Syahruddin Bin Awg. Ahmad , Lorita Angeline , Intan Soliha Binti Ibrahim , Asmady Idris , Assis Bin Kamu (2025), Meta-synthesising 5g And Ott Transformation In Radio Broadcasting

4.

Lorita Angeline , Norfarariyanti Binti Parimon , Uda Bin Hashim , Muhammad Nur Afnan Bin Uda , Chai Chang Yii (2025), Optimization Of A Nanoampere-to-millivolt Amplifier For Amperometric Electrical Biosensors

5.

Lorita Angeline , Chai Chang Yii , Muhammad Nur Afnan Bin Uda (2024), Advancing Covid-19 Detection: High-performance Rna Biosensing Via Electrical Interactions