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Menampilkan 1–9 dari 9 artikel
Design Of Phantom Ultrasonography For Ultrasonography (USG) Calibration
MEDIKA TRADA : Jurnal Teknik Elektomedik Polbitrada
Vol 6
, No 2
(2025)
This study aims to design and build an Ultrasonography (USG) Phantom as an ultrasound calibration medium with more affordable materials but still meets quality and precision standards. The USG Phantom is designed using two basic materials, namely distilled water and engine oil, to then compare its performance in producing ultrasonic images. The research method used is an experiment with the stages of tool design, phantom manufacturing, and functional testing using Vertical and Horizontal Distanc...
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Investigating a SMOTE-Tomek Boosted Stacked Learning Scheme for Phishing Website Detection: A Pilot Study
Ugbotu, Eferhire Valentine
; Emordi, Frances Uchechukwu
; Ugboh, Emeke
; Anazia, Kizito Eluemunor
; Odiakaose, Christopher Chukwufunaya
; Onoma, Paul Avwerosuoghene
; Idama, Rebecca Okeoghene
; Ojugo, Arnold Adimabua
; Geteloma, Victor Ochuko
; Oweimieotu, Amanda Enaodona
; Aghaunor, Tabitha Chukwudi
; Binitie, Amaka Patience
; Odoh, Anne
; Onochie, Chris Chukwudi
; Ezzeh, Peace Oguguo
; Eboka, Andrew Okonji
; Agboi, Joy
; Ejeh, Patrick Ogholuwarami
Journal of Computing Theories and Applications
Vol 3
, No 2
(2025)
The daily exchange of informatics over the Internet has both eased the widespread proliferation of resources to ease accessibility, availability and interoperability of accompanying devices. In addition, the recent widespread proliferation of smartphones alongside other computing devices has continued to advance features such as miniaturization, portability, data access ease, mobility, and other merits. It has also birthed adversarial attacks targeted at network infrastructures and aimed at expl...
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A Machine Learning Based Approach to Course and Career Recommendation System: A Systematic Literature Review
Iorzua, Joseph Tersoo
; Moses, Timothy
; Eke, Christopher Ifeanyi
; Agushaka, Ovre Jeffery
; Kwaghtyo, Dekera Kenneth
; Godswill, Theophilus
Journal of Computing Theories and Applications
Vol 3
, No 1
(2025)
Learners are continually faced with choosing appropriate courses or making career choices due to increased educational opportunities. The emergence of machine learning-based course and career recommender systems has the potential to address this issue, offering personalized course recommendations tailored to individual learning pathways, preferences, and learning history. The optimization and feature engineering techniques and practical deployment environments have not been collectively examined...
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Pengaruh Pengalaman Merek Terhadap Kecintaan pada Merek Krispy Kreme dengan Keaslian Merek Sebagai Variabel Mediasi
Wawasan : Jurnal Ilmu Manajemenx, Ekonomi dan Kewirausahan
Vol 3
, No 1
(2025)
The purpose of this research is to determine the influence of brand experience and brand authenticity on brand love, the influence of brand experience on brand authenticity, and the influence of brand experience on brand love in Krispy Kreme consumers with brand authenticity as a mediating variable. The population of this research is all Krispy Kreme consumers in Jakarta and the sample selection used purposive sampling and the sample size was 100 respondents domiciled in Jakarta. This research u...
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Enhancing the Random Forest Model via Synthetic Minority Oversampling Technique for Credit-Card Fraud Detection
Aghware, Fidelis Obukohwo
; Ojugo, Arnold Adimabua
; Adigwe, Wilfred
; Odiakaose, Christopher Chukwufumaya
; Ojei, Emma Obiajulu
; Ashioba, Nwanze Chukwudi
; Okpor, Margareth Dumebi
; Geteloma, Victor Ochuko
Journal of Computing Theories and Applications
Vol 1
, No 4
(2024)
Fraudsters increasingly exploit unauthorized credit card information for financial gain, targeting un-suspecting users, especially as financial institutions expand their services to semi-urban and rural areas. This, in turn, has continued to ripple across society, causing huge financial losses and lowering user trust implications for all cardholders. Thus, banks cum financial institutions are today poised to implement fraud detection schemes. Five algorithms were trained with and without the app...
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BEHeDaS: A Blockchain Electronic Health Data System for Secure Medical Records Exchange
Oladele, James Kolapo
; Ojugo, Arnold Adimabua
; Odiakaose, Christopher Chukwufunaya
; Emordi, Frances Uchechukwu
; Abere, Reuben Akporube
; Nwozor, Blessing
; Ejeh, Patrick Ogholuwarami
; Geteloma, Victor Ochuko
Journal of Computing Theories and Applications
Vol 1
, No 3
(2024)
Blockchain platforms propagate into every facet, including managing medical services with professional and patient-centered applications. With its sensitive nature, record privacy has become imminent with medical services for patient diagnosis and treatments. The nature of medical records has continued to necessitate their availability, reachability, accessibility, security, mobility, and confidentiality. Challenges to these include authorized transfer of patient records on referral, security ac...
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60 Sitasi
DESIGN OF BODY MASS INDEX CALCULATOR SIMULATION BASED ON ARDUINO UNO AND WOKWI SIMULATION
MEDIKA TRADA : Jurnal Teknik Elektomedik Polbitrada
Vol 4
, No 2
(2023)
Ideal body weight is everyone's dream. Not only does having a body shape support your appearance, ideal body weight also indicates a healthy body condition. Maintaining body weight is one of the main keys to having a healthy and fit body. To find out whether our weight is ideal, we can see it from the Body Mass Index (BMI) measurement. BMI is measured by comparing height and weight. Basically, BMI is a benchmark that can be used as a way to find out ideal body weight. As time progresses, the use...
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2 Sitasi
CoSoGMIR: A Social Graph Contagion Diffusion Framework using the Movement-Interaction-Return Technique
Ojugo, Arnold Adimabua
; Ejeh, Patrick Ogholuwarami
; Akazue, Maureen Ifeanyi
; Ashioba, Nwanze Chukwudi
; Odiakaose, Christopher Chukwufunaya
; Ako, Rita Erhovwo
; Nwozor, Blessing
; Emordi, Frances Uche
Journal of Computing Theories and Applications
Vol 1
, No 2
(2023)
Besides the inherent benefits of exchanging information and interactions between nodes on a social graph, they can also become a means for the propagation of knowledge. Social graphs have also become a veritable structure for the spread of disease outbreaks. These and its set of protocols are deployed as measures to curb its widespread effects as it has also left network experts puzzled. The recent lessons from the COVID-19 pandemic continue to reiterate that diseases will always be around. Noda...
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10 Sitasi
Forging a User-Trust Memetic Modular Neural Network Card Fraud Detection Ensemble: A Pilot Study
Ojugo, Arnold Adimabua
; Akazue, Maureen Ifeanyi
; Ejeh, Patrick Ogholuwarami
; Ashioba, Nwanze Chukwudi
; Odiakaose, Christopher Chukwufunaya
; Ako, Rita Erhovwo
; Emordi, Frances Uche
Journal of Computing Theories and Applications
Vol 1
, No 2
(2023)
The advent of the Internet as an effective means for resource sharing has consequently, led to proliferation of adversaries, with unauthorized access to network resources. Adversaries achieved fraudulent activities via carefully crafted attacks of large magnitude targeted at personal gains and rewards. With the cost of over $1.3Trillion lost globally to financial crimes and the rise in such fraudulent activities vis the use of credit-cards, financial institutions and major stakeholders must begi...
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20 Sitasi