Coopetition Analysis Between JD and Tmall in China’s E-Commerce Landscape: A Hybrid Thematic-Latent Dirichlet Allocation Approach
DOI: 10.54364/AAIML.2025.5220622-Apr-2025
Pagon Gatchalee
Adv. Artif. Intell. Mach. Learn., 5 (2 ): 3627-3645
Abstract PDF Citation Info via Semantic ScholarAdvanced Online Proctoring: Facial Emotion Monitoring with Attentive-Net
DOI: 10.54364/AAIML.2025.5220723-Apr-2025
Sangeeta Lamba and Neelam Sharma.
Adv. Artif. Intell. Mach. Learn., 5 (2 ): 3646-3662
Abstract PDF Citation Info via Semantic ScholarImproving Financial Distress Prediction through Clustered SMOTE for Imbalanced Data
DOI: 10.54364/AAIML.2025.5220826-Apr-2025
Kalina Kitova, Borislava Petrova Vrigazova, Ivan Ivanov.
Adv. Artif. Intell. Mach. Learn., 5 (2 ): 3663-3680
Abstract PDF Citation Info via Semantic ScholarMachine Learning Model Based Analysis of Test Anxiety's Effects on Academic Achievement
DOI: 10.54364/AAIML.2025.5220913-May-2025
Jabar H. Yousif , Eimad Abusham, Kelvin Joseph Bwalya, Amir Mohamed Talib, Mandour Mohamed Ibrahim, Nuha Mohammed Alshuqayran.
Adv. Artif. Intell. Mach. Learn., 5 (2 ): 3682-3702
Abstract PDF Citation Info via Semantic ScholarArtificial Intelligence in Laboratories: A Systematic Review of Existing Applications, Advantages, and Implementation Difficulties
DOI: 10.54364/AAIML.2025.5221016-May-2025
Mohamed Helmi Aboulsoud
Adv. Artif. Intell. Mach. Learn., 5 (2 ): 3703-3716
Abstract PDF Citation Info via Semantic ScholarForecasting the Resignation of Skilled Technicians in Automotive Companies Using Artificial Intelligence: A case study of large car service centers in Thailand
DOI: 10.54364/AAIML.2025.5221117-May-2025
Pravig Jeenprecha, Natworapol Rachsiriwatcharabul.
Adv. Artif. Intell. Mach. Learn., 5 (2 ): 3717-3735
Abstract PDF Citation Info via Semantic ScholarEnhancing Lost and Found Systems with Multi-Modal Deep Learning: Integrating SBERT and Siamese Networks for Improved Semantic Matching
DOI: 10.54364/AAIML.2025.5221221-May-2025
B.M.P. Dhanawardhana, K.A.D. Chalana, I.D.S.P. Abeywardena, Nalaka Lankasena, M.H. Paul.
Adv. Artif. Intell. Mach. Learn., 5 (2 ): 3736-3754
Abstract PDF Citation Info via Semantic ScholarAutomatic Segmentation of Flood Region in Otsu’s/Kapur’s Threshold Enhanced Images using Deep-Learning Scheme
DOI: 10.54364/AAIML.2025.5221324-May-2025
M. Mathumathi, A.Rama.
Adv. Artif. Intell. Mach. Learn., 5 (2 ): 3755-3767
Abstract PDF Citation Info via Semantic ScholarHarnessing Deep Learning Techniques for the Removal of Occlusion in Face Image
DOI: 10.54364/AAIML.2025.5221428-May-2025
JYOTHSNA CHERAPANAMJERI, Narendra Kumar Rao Bangole.
Adv. Artif. Intell. Mach. Learn., 5 (2 ): 3768-3783
Abstract PDF Citation Info via Semantic ScholarDevelopment of an Intelligent Fault Diagnosis Tool for iPhone Motherboards: Power Consumption Analysis Using Deep Learning
DOI: 10.54364/AAIML.2025.5221516-Jun-2025
P.D.K. Madhubhashana, H.D.N.V. Jayasekara, G.D.G.N. Jayawardena, B.N.S. Lankasena, B.M. Seneviratne.
Adv. Artif. Intell. Mach. Learn., 5 (2 ): 3784-3808
Abstract PDF Citation Info via Semantic ScholarAssessing Lag-Llama in Probabilistic Time Series Forecasting for the Indonesian Stock Market
DOI: 10.54364/AAIML.2025.5221617-Jun-2025
Arbi Haza Nasution, Anggi Hanafiah, Winda Monika, Rajalingam Sokkalingam, Mohd Sham Mohamad, Andry Alamsyah.
Adv. Artif. Intell. Mach. Learn., 5 (2 ): 3809-3833
Abstract PDF Citation Info via Semantic ScholarFeature Extraction and Analysis for GPT-Generated Text
DOI: 10.54364/AAIML.2025.5221718-Jun-2025
Aydın Selvioğlu, Venera Adanova, Maksat Atagoziev.
Adv. Artif. Intell. Mach. Learn., 5 (2 ): 3834-3849
Abstract PDF Citation Info via Semantic ScholarThe Impact of Artificial Intelligence Usage on Ethical Behaviour and Scientific Research: Does Gender Make a Difference?
DOI: 10.54364/AAIML.2025.5221819-Jun-2025
Hassane Gharbi , Abu Elnasr E. Sobaih, Nadir Aliane.
Adv. Artif. Intell. Mach. Learn., 5 (2 ): 3850-3865
Abstract PDF Citation Info via Semantic ScholarMalware Traffic and Ransomware Anomaly Detection Based on Wavelet Time-Frequency Analysis and Deep Learning
DOI: 10.54364/AAIML.2025.5221921-Jun-2025
WeiYu Chen, Tsang-Long Pao, Yucheng Kao.
Adv. Artif. Intell. Mach. Learn., 5 (2 ): 3866-3882
Abstract PDF Citation Info via Semantic ScholarPerformance Assessment of ML and DL Models in Detecting Hate Speech from Mixed English–Roman Urdu Text with Small-Scale Datasets
DOI: 10.54364/AAIML.2025.5222021-Jun-2025
Husnain Saleem, Muhammad Javed, Abdulrhman Alahmadi, Ibrahim Aljubayri, Mohammad Zubair Khan, Junaid
Adv. Artif. Intell. Mach. Learn., 5 (2 ): 3883-3899
Abstract PDF Citation Info via Semantic ScholarEarly Detection and Risk Stratification of Osteosarcoma, A Rare Tumor, Using Artificial Intelligence: A Systematic Review
DOI: 10.54364/AAIML.2025.5222124-Jun-2025
Vijay Govindarajan, Sooraj Kumar, Pawan Kumar, Danesh Kumar, Hansa Devi, Ashish Shiwlani.
Adv. Artif. Intell. Mach. Learn., 5 (2 ): 3900-3922
Abstract PDF Citation Info via Semantic ScholarEvaluating the Effect of Noisy Thermal Images On the Detection of Early Breast Cancer Using Deep Learning
DOI: 10.54364/AAIML.2025.5222226-Jun-2025
Mohammed Abdulla Salim Al Husaini, Mohamed Hadi Habaebi, Md Rafiqul Islam, Yousuf Nasser Said Al Husaini
Adv. Artif. Intell. Mach. Learn., 5 (2 ): 3923-3953
Abstract PDF Citation Info via Semantic ScholarA systematic Review of Factors Influencing the Acceptance of Artificial Intelligence Devices
DOI: 10.54364/AAIML.2025.5222326-Jun-2025
Luis Salazar, Luis Rivera.
Adv. Artif. Intell. Mach. Learn., 5 (2 ): 3954-3974
Abstract PDF Citation Info via Semantic ScholarTraffic Accident Predictive Model for Efficient Resource Allocation in Qatar: A Novel Transformer-Based Approach
DOI: 10.54364/AAIML.2025.5222428-Jun-2025
Mansoor Althani
Adv. Artif. Intell. Mach. Learn., 5 (2 ): 3975-3987
Abstract PDF Citation Info via Semantic ScholarATAD-Net: An Adaptive Deep Learning Framework for Real-Time Financial Fraud Detection
DOI: 10.54364/AAIML.2025.5222528-Jun-2025
Laila Abd-Ellatif, Mohammad Abrar, Alaa A. K. Ismaeel.
Adv. Artif. Intell. Mach. Learn., 5 (2 ): 3988-4003
Abstract PDF Citation Info via Semantic ScholarMitigating Cyberfraud in Financial Institutions: A Deep Learning Approach using the South African Banking Industry as a Case Study
DOI: 10.54364/AAIML.2025.5222628-Jun-2025
Oluwatoyin Esther Akinbowale, Mulatu Fekadu Zerihun, Polly Mashigo.
Adv. Artif. Intell. Mach. Learn., 5 (2 ): 4004-4033
Abstract PDF Citation Info via Semantic Scholar