Browsing by Subject "Machine Learning"
Now showing items 1-14 of 14
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Adventures in data analysis: a systematic review of Deep Learning techniques for pattern recognition in cyber-physical-social systems
(Springer, 2023)Machine Learning (ML) and Deep Learning (DL) have achieved high success in many textual, auditory, medical imaging, and visual recognition patterns. Concerning the importance of ML/DL in recognizing patterns due to its ... -
Alternative Credit Scoring and Classification Employing Machine Learning Techniques on a Big Data Platform
(Institute of Electrical and Electronics Engineers Inc., 2019)With the bloom of financial technology and innovations aiming to deliver a high standard of financial services, banks and credit service companies, along with other financial institutions, use the most recent technologies ... -
Android Malware Detection Using Machine Learning
(Institute of Electrical and Electronics Engineers Inc., 2020)The usage of mobile devices is increasing exponentially. There were lots of critical applications such as banking to health applications are available on mobile devices through mobile applications. This penetration and ... -
Anomaly detection via machine learning
(Kadir Has Üniversitesi, 2023-02)Retail companies monitor inventory stock levels regularly and manage stock levels based on forecasted sales to sustain their market position. The accuracy of inventory stocks is critical for retail companies to create a ... -
Applying machine learning algorithms in sales prediction
(Kadir Has Üniversitesi, 2019)Makine öğrenimi bir çok endüstride üzerinde yoğun çalışmalar yapılan bir konu olmuştur, ve neyse ki şirketler kendi problemlerini çözebilecek çeşitli machine learning yaklaşımları hakkında günden güne daha ... -
The effects of digital strategies on customer churn in the telecom industry
(Kadir Has Üniversitesi, 2022-06)The telecom industry has been saturated over the last years and organic growth in the number of customers has been slowing down. Institutions allocate a significant amount of resources to reducing churn rates as the ... -
Estimation of energy production in biogas plants
(Kadir Has Üniversitesi, 2023-01)The importance of renewable energy sources is getting more and more significant day by day. Renewable energies are required since the world's energy consumption is rising in tandem with the human population. The gas produced ... -
Forecasting employees' promotion based on the personal indicators by using a machine learning algorithm
(Kadir Has Üniversitesi, 2022-06)Job promotion is considered one of the most important issues of importance in any organization, as it is vital for administrative development, and a means of motivating the worker for self-development and willingness to ... -
Forecasting the Short-Term Electricity In Steel Manufacturing For Purchase Accuracy on Day-Ahead Market
(Institute of Electrical and Electronics Engineers Inc., 2022)Forecasting electricity consumption in the most accurate way is crucial for purchase on the day-ahead market in steel manufacturing. This study is aimed to predict short-term electricity consumption regarding the day-ahead ... -
Location-allocation through machine learning for e-commerce logistic services
(Kadir Has Üniversitesi, 2022-02)Companies desire to expand their businesses in such a way that there will not be any loss in their revenues. An e-commerce logistics company functions as the distribution and delivery of goods to buyers. To expand the ... -
Machine Learning Applications in Internet-of-Drones: Systematic Review, Recent Deployments, and Open Issues
(Assoc Computing Machinery, 2023)Deep Learning (DL) and Machine Learning (ML) are effectively utilized in various complicated challenges in healthcare, industry, and academia. The Internet of Drones (IoD) has lately cropped up due to high adjustability ... -
Recommendation of data visualization tools for non-technical people
(Kadir Has Üniversitesi, 2019)Big data analysis and data science are promising trends. Visualization is critical part. It outlines and presents data as information from different perspectives. Consequently, leaders, decision makers, and end users will ... -
Towards a dynamic system in credit scoring
(Kadir Has Üniversitesi, 2018)In this study, it is aimed to construct a fully automated, comprehensive, and dynamic system which gives the ability to a credit analyst to make credit decisions without any human interaction, solely based on the data set. ... -
Use of machine learning techniques for diagnosis of thyroid glang disorder
(Kadir Has Üniversitesi, 2016)The advancements of computer technologies have generated an incredible amount of data and information from numerous sources. Nowadays, the way of implementing health care are being changing by utilizing the benefits of ...