4 citations · 9 across the 10 of their papers we have counts for
10 papers
Enhancing Quranic Learning: A Multimodal Deep Learning Approach for Arabic Phoneme Recognition
Ayhan Kucukmanisa, Derya Gelmez, Sukru Selim Calik +1
Recent advances in multimodal deep learning have greatly enhanced the capability of systems for speech analysis and pronunciation assessment. Accurate pronunciation detection remai…
Explainable-AI powered stock price prediction using time series transformers: A Case Study on BIST100
Sukru Selim Calik, Andac Akyuz, Zeynep Hilal Kilimci +1
Financial literacy is increasingly dependent on the ability to interpret complex financial data and utilize advanced forecasting tools. In this context, this study proposes a novel…
Migrating Birds Optimization-Based Feature Selection for Text Classification
Cem Kaya, Zeynep Hilal Kilimci, Mitat Uysal +1
This research introduces a novel approach, MBO-NB, that leverages Migrating Birds Optimization (MBO) coupled with Naive Bayes as an internal classifier to address feature selection…
ACP-ESM: A novel framework for classification of anticancer peptides using protein-oriented transformer approach
Zeynep Hilal Kilimci, Mustafa Yalcin
Anticancer peptides (ACPs) are a class of molecules that have gained significant attention in the field of cancer research and therapy. ACPs are short chains of amino acids, the bu…
A novel transformer-based approach for soil temperature prediction
Muhammet Mucahit Enes Yurtsever, Ayhan Kucukmanisa, Zeynep Hilal Kilimci
Soil temperature is one of the most significant parameters that plays a crucial role in glacier energy, dynamics of mass balance, processes of surface hydrological, coaction of gla…
Heart Disease Detection using Vision-Based Transformer Models from ECG Images
Zeynep Hilal Kilimci, Mustafa Yalcin, Ayhan Kucukmanisa +1
Heart disease, also known as cardiovascular disease, is a prevalent and critical medical condition characterized by the impairment of the heart and blood vessels, leading to variou…