4 articles for “Gemini 1.5 Pro”

Set a search alert

Research ArticleOpen accessPhrase in the titleComparative Analysis of GPT-4o and Gemini 1.5 Pro in Thai Exam SettingsKasidis Miankamnerd, Taechasith KangkhuntodThis study presents a comparative analysis of two advanced AI models, GPT-4o and Gemini 1.5 Pro, within the context of Thai standardized exams. The selected tests include POSN Biology, POSN Mathematics, A-Level Thai Language, and A-Level Social Studies, chosen based on consultations with educational experts to ensure relevance. Each AI model was tested three times on these exams to ensure … …Journal of Computer Science, Vol. 21, Issue 1 · 30 Dec 2024 · 7,200 accessesView PDF Cite

Research ArticleOpen accessIn the abstractEvaluation of Language Models (LLMs) in the Interpretation of Tuberculosis Concepts: Design of a Virtual Assistant for Clinical Support and Patient EducationMauricio Acevedo-Carrillo, Shirley Fiorella Simbron EspejoTuberculosis (TB) remains a global public health challenge, where access to accurate and up-to-date information is crucial for professionals and patients. This research comparatively evaluated the performance of five language models (LLMs) Med-PaLM 2, GPT-4, MEDITRON-70B, Me-LLaMA, and Clinical Camel in the TB domain and implemented a mobile virtual assistant as a proof-of-concept based on the best-performing model. Clinical accuracy … …Journal of Computer Science, Vol. 22, Issue 9 · 30 Sep 2026 · 491 accessesView PDF Cite

Research ArticleOpen accessIn the abstractAssessing Bi-LSTM Model’s Performance in Identifying AI Generated Text in Digital MediaTinashe Crispen Garidzira, William Tichaona Vambe, Courage MatoboboThe rapid growth of AI-generated content from ChatGPT, Gemini, and many others poses significant challenges in digital media. There are increasing instances of text generated by machine learning models being indistinguishable from human-written text. This calls for an effective way of detecting and distinguishing text generated by AI from human text. Using a Cross-Industry Standard Process for Data Mining (CRISP-DM) … …Journal of Computer Science, Vol. 21, Issue 8 · 8 Oct 2025 · 2,416 accessesView PDF Cite

Research ArticleOpen accessIn the abstractHost Plant Mediated Population Variations of Cotton Whitefly Bemisia tabaci Gennadius (Aleyrodidae: Homoptera) Characterized with Random DNA MarkersYasodha Perumal, Murugan Marimuthu, Abida Puthenpeedikal Salim, Balasubramanian PonnusamyProblem statement: Whitefly, Bemisia tabaci is an important sucking pest of field, horticultural and ornamental plants causing feeding injuries besides spreading disease by acting as a vector of Gemini viruses. The polyphagous nature of the pest makes it as a highly complex species. Approach: The influence of host plants utilized by the species on the population differences at molecular level … …American Journal of Biochemistry and Biotechnology, Vol. 5, Issue 1 · 31 Mar 2009 · 8,211 accessesView PDF Cite