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Transformer-Augmented Deep Learning Ensemble for Multi-Modal Neuroimaging-Based Diagnosis of Amyotrophic Lateral Sclerosis
Asuai, Clive
; Andrew, Mayor
; Arinomor, Ayigbe Prince
; Ogheneochuko, Daniel Ezekiel
; Joseph-Brown, Aghoghovia Agajere
; Merit, Ighere
; Collins, Atumah
Journal of Computing Theories and Applications
Vol 3
, No 2
(2025)
Amyotrophic Lateral Sclerosis (ALS) is a progressive neurodegenerative disorder that presents significant diagnostic challenges due to its heterogeneous clinical manifestations and symptom overlap with other neurological conditions. Early and accurate diagnosis is critical for initiating timely interventions and improving patient outcomes. Traditional diagnostic approaches rely heavily on clinical expertise and manual interpretation of neuroimaging data, such as structural MRI, Diffusion Tensor...
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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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A Low-Cost Hydroponic Monitoring System with Internet of Things and Fuzzy Logic
Journal of Computing Theories and Applications
Vol 2
, No 3
(2025)
The need for urban communities to consume vegetables is increasing. This has caused people to start cultivating vegetables using hydroponic techniques. However, due to their busy activities, they do not have enough time to monitor and control hydroponics, which must always be in ideal conditions. This paper designs and implements an Internet of Things-based monitoring system to help hydroponic owners monitor their hydroponics anywhere and anytime. The built system requires a monitoring device as...
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A Comparative Analysis of Generative Artificial Intelligence Tools for Natural Language Processing
Journal of Computing Theories and Applications
Vol 1
, No 3
(2024)
Generative artificial intelligence tools have recently attracted a great deal of attention. This is because of their huge advantages, which include ease of usage, quick generation of answers to requests, and the human-like intelligence they possess. This paper presents a vivid comparative analysis of the top 9 generative artificial intelligence (AI) tools, namely ChatGPT, Perplexity AI, YouChat, ChatSonic, Google's Bard, Microsoft Bing Assistant, HuggingChat, Jasper AI, and Quora's Poe, paying a...
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55 Sitasi
Analisis Pengisian Baterai berbasis Arus dan Tegangan pada Baterai Kendaraan Listrik
Jurnal Elektronika dan Komputer
Vol 16
, No 2
(2023)
Kendaraan listrik mulai banyak digunakan di kalangan kendaraan konvensional. Penggunaan baterai sangat penting bagi kendaraan listrik dan baterai sebagai sumber energinya. Proses pengisian baterai dapat dilakukan dengan menjaga arus tetap konstan atau menjaga tegangan tetap konstan pada saat pengisian baterai. Berdasarkan analisis hasil pengukuran dapat disimpulkan bahwa (1) kapasitas baterai dapat dicapai dengan menggunakan tegangan konstan dan arus besar, atau arus konstan dan tegangan besar,...
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Classification Model Analysis of ICU Mortality Level using Random Forest and Neural Network
Jurnal Informatika dan Rekayasa Perangkat Lunak
Vol 5
, No 2
(2023)
Based on the results of previous studies, research on machine learning for predicting ICU patients is crucial as it can aid doctors in identifying high-risk individuals. A high accuracy in machine learning models is necessary for assisting doctors in making informed decisions. In this study, machine learning models were developed using two models, namely Random Forest and Artificial Neural Network (ANN), to predict patient mortality in the ICU. Patient data was obtained from The Global Open Sour...
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Analisis Hasil Ukur Sensor Arus dan Tegangan untuk Memantau Daya Listrik berbasis Microcontroller
Jurnal Elektronika dan Komputer
Vol 16
, No 1
(2023)
The community's need for electric power is increasing and efforts to monitor electric power are to obtain information on the results of measurements of voltage and electric current. Based on the analysis of the measurement results, it can be concluded that (1) the current measurement is more optimal when using the SCT-013 current sensor, (2) the voltage measurement is more optimal when using the PZEM-004T voltage sensor, (3) the difference in measurements using the current sensor is greater than...
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EKSISTENSI KAPITALISME MELALUI PENYEBARAN MNCs DI ASEAN AKIBAT ARUS GLOBALISASI
Jason Fernando
; Ezra Yora Turnip
; Fember Larastina
; Josephine Exaudi
; Kezia Feradris
; Rostiana Gomang Narek
Jurnal Politik Hukum
Vol 1
, No 1
(2023)
Penelitian ini difokuskan terkait dari keberadaan kapitalisme sebagai konsekuensi globalisasi mempengaruhi ASEAN. Adanya pasar bebas ini menyebabkan fase perekonomian kawasan berjalan tidak merata dan pemahaman mengenai neoliberalisme penting untuk dimengerti dalam menimbang hambatan pada globalisasi ekonomi. David Harvey juga menunjukkan bahwa kehadiran kapitalisme akibat globalisasi menyebabkan hancurnya ruang dan waktu. Penelitian ini akan menggunakan metodologi kualitatif agar mendapatkan da...
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AI For Effective Project Resources Management
Jurnal Elektronika dan Komputer
Vol 15
, No 2
(2022)
This research endeavours to delve into the potential of Artificial Intelligence (AI) in bolstering Project Resource Management (PRM), discerning the principal challenges inherent in project resource planning, acquisition, and human as well as physical resource management, while also appraising the utilization of AI tools by project team members (PTM) and their efficacy in daily tasks. This research contributes a theoretical basis for what lies ahead studies in PM and unveils the benefits of AI i...
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ANALISIS KUALIFIKASI DASAR KEMAMPUAN KEPEMIMPINAN DALAM REKRUTMEN KARYAWAN BIDANG INDUSTRI PARIWISATA
Mabha Jurnal
Vol 3
, No 1
(2022)
Industri pariwisata yang bergerak di bidang pelayanan mencakup hal-hal yang membutuhkan kemampuan individu dalam memimpin suatu kelompok. Kemampuan individu dalam memimpin menjadi hal yang sangat penting untuk diperhatikan di industri pariwisata. Oleh karena itu, untuk mendapatkan figur pemimpin yang tepat dalam menunjukkan kinerja, perlu ditinjau kualifikasi dasar suatu jabatan pekerjaan saat proses rekrutmen karyawan. Proses rekrutmen ini menjadi pintu awal untuk memulai suatu jabatan karir di...
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2 Sitasi