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22 results for “forecast adjustment”

Research Article Open Access Business-Aware Agentic Forecast Refinement for Enterprise Financial Planning
Hari Rajagopalan, Rajagopalan H
Proceedings of the International Conference on Open Finance (ICOF 2026) 2026 https://doi.org/10.36287/setsci.25.7.001

Enterprise financial forecasts are generated across multiple business dimensions such as products, regions, channels, customer cohorts, and segments. In a large enterprise, this can result in billions of populated intersections that finance teams cannot review…

Research Article Open Access Analysis of Highway Traffic Using Deep Learning Techniques / Derin Öğrenme Teknikleri Kullanılarak Anayol Trafik Analizi
Muhammet Esad Özdağ, Özdağ M, Nesrin Aydın Atasoy, Aydın Atasoy N
4th International Symposium on Innovative Approaches in Engineering and Natural Sciences 2019 https://doi.org/10.36287/setsci.4.6.098

Traffic flow forecasting has an important place in designing a successful intelligent transportation system. The success of the forecasting is related to the accuracy and timely acquisition of the traffic flow data. The inadequacy in the number of data has led…

Research Article Open Access Diyabeti Olan Bireylerde Hastalığa Psikososyal Uyumda Hemşirenin Rolü
Safiye Yanmış, Yanmış S
2nd International Symposium on Innovative Approaches in Scientific Studies 2018

Diyabet, bireyin ve ailesinin yaşamını çeşitli boyutları ile etkileyen, zorunlu yaşam tarzı değişikliklerini gerektiren, komplikasyonları nedeni ile yaşam kalitesini azaltan kronik bir hastalıktır. Tüm kronik hastalıklarda olduğu gibi sık görülen, tedavisi s…

Research Article Open Access Forecast of Daily Average Air Temperature by Artificial Neural Networks: Yozgat Province Case
Tolga Hayıt, Hayıt T, Ömer Dağıstanlı, Dağıstanlı Ö, Gökalp Çınarer, Çınarer G
Ist International Symposium on Innovative Approaches in Scientific Studies 2018

Today, with the rapidly development of technology, artificial neural networks (ANN) usage as an alternative to statistical methods increase in many fields such as finance sector, medical science, defense industry, production, robot systems, image processing an…

Research Article Open Access The Determination of Seismogenic Features of Faults by Using Geophysical and Geodetic Imaging Method for Forecast Earthquakes: North Anatolian Fault Zone Example
Şakir Şahin, Şahin Ş, Guoyan  Jiang , Jiang  G
Ist International Symposium on Innovative Approaches in Scientific Studies 2018

Size of damage caused by an earthquake depends on the amount of energy released by the current stress accumulation of the active faults and the change over time. Stress accumulation on a fault occurs in two types. These are 1) the long-term tectonic movements …

Research Article Open Access A Data Analysis and Behavior Model for Study of Consumer Service in the Financial Sector
Sultan  Tatlılıoğlu  , Tatlılıoğlu   S, Dionysis  Goularas  , Goularas   D
3rd International Symposium on Innovative Approaches in Scientific Studies (Engineering and Natural Sciences) 2019

In recent years, the financial sector has been considerably developed, especially in electronic banking. As individual users in the financial sector use e-banking and e-finance systems, the concept of loyalty in the banking sector has shifted from traditional …

Research Article Open Access Estimation of Electricity Consumption of Turkey by using ARIMA, Grey Model and Linear Regression Analysis
Zeynep Ceylan, Ceylan Z, Hakan Öztürk, Öztürk H, Birol Elevli, Elevli B
2nd International Symposium on Innovative Approaches in Scientific Studies 2018

The successful estimation of future electricity consumption has a crucial importance in the energy planning. Because, in order to meet rising energy demand, policy makers should formulate electricity supply policies and make critical decisions and develop ne…

Research Article Open Access Design and Application of Grey Predictor for Unglazed Transpired Solar Collector
Saliha Erentürk, Erentürk S, Köksal Erentürk, Erentürk K
Ist International Symposium on Innovative Approaches in Scientific Studies 2018

In order to evaluate different modeling techniques for Unglazed Transpired Collectors (UTC), not only mathematical modeling method for UTC based on heat transfer expressions to estimate the various heat transfer coefficients for the UTC components and empirica…

Research Article Open Access Determination of Percentile Sunlit Time of a Rooftop using the VI-Suite
Hakan Aydoğan, Aydoğan H, Mehmet Feyzi Özsoy, Özsoy M
International Symposium on Multidisciplinary Studies and Innovative Technologies 2017

The aim of this study is to determine instantaneous irradiance and annual percentile sunlit time on the available rooftop floor area of Technical and Social Science Vocational School at Usak University by simulation using open source software. The building of …

Research Article Open Access Forecasting the Installed Wind Power in Turkey by Artificial Neural Network
Mehmet Feyzi Özsoy, Özsoy M, Hakan Aydoğan, Aydoğan H
International Symposium on Multidisciplinary Studies and Innovative Technologies 2017

The aim of this study is to forecast installed wind power which is a one of the renewable energy resources in Turkey for the year of 2017 based on artificial neural network method using the normalized last ten-year data. An artificial neural network has been c…

Research Article Open Access Execution Certificates for Open Finance: Auditable Data Availability, Latency, and Cost in Learned Lead–Lag Trading
Eric Benhamou, Benhamou E, Jean-Jacques Ohana, Ohana J, Beatrice Guez, Guez B, Thomas Jacquot, Jacquot T, Ethan Setrouk, Setrouk E, Chamyl Saadi, Saadi C
Proceedings of the International Conference on Open Finance (ICOF 2026) 2026 https://doi.org/10.36287/setsci.25.2.001

Open-finance interfaces make market data and trading services programmable, but an API response is not an executable signal. Economic information depends on data receipt, inference completion, and feasible order arrival. We propose an execution certificate: a …

Research Article Open Access Hyperparameter Optimization for A Hybrid CNN-LSTM-based Intrusion Detection System
Pınar Ayyıldız, Ayyıldız P, Oğuzhan Karahan, Karahan O
Proceeding of the Cognitive Models and Artificial Intelligence Conference 2024 https://doi.org/10.36287/setsci.17.1.007

Network security is becoming more and more important as a result of the growing use of the internet and technological developments. Intrusion Detection Systems (IDS) are utilized to detect attacks, preferably by monitoring real-time events. Therefore, they hol…

Research Article Open Access COMPARISON OF STRAIGHT, SPIRAL CONFORMAL AND ZIGZAG CONFORMAL COOLING CHANNELS IN PLASTIC INJECTION MOLDS
Abdulmecit  GÜLDAŞ  , GÜLDAŞ   A, Mustafa  GÖKTAŞ  , GÖKTAŞ   M
3rd International Symposium on Innovative Approaches in Scientific Studies (Engineering and Natural Sciences) 2019

Plastic injection molding is one of the widely used methods of forming plastic materials. The process of cooling the mold in injection molding has an important role in reducing the production costs and increasing the product quality. Thanks to the evolving add…

Research Article Open Access Rootstocks in Cherry Growing Kiraz Yetiştiriciliğinde Anaçlar
Servet Aras, Aras S
2nd International Symposium on Innovative Approaches in Scientific Studies 2018

Cherry trees do not reproduce from seed. Desirable cultivars are grafted onto rootstocks which is generally clonally propagated. Many cherry rootstocks have been released around the world and a wide range of cherry rootstocks is available for growers. The cu…

Research Article Open Access From Istanbul to New York: Bi-Cultural Learning Experience in Fashion Design
Gözde Göncü Berk, Berk G
Ist International Symposium on Innovative Approaches in Scientific Studies 2018

The dual-diploma programs between the State University of New York (SUNY) and Turkish Universities is an example of collaborative international education or dual diploma education between two institutions in two different countries as a new approach of bi-cult…

Research Article Open Access Forecasting Banking Desert Risk Using Branch Level and Merger Signals
Malavika Polanki, Polanki M
Proceedings of the International Conference on Open Finance (ICOF 2026) 2026 https://doi.org/10.36287/setsci.25.5.001

In the United States, banking desert status is classified annually from that same year’s branch data, producing a contemporaneous snapshot of current access rather than a forecast of which communities are likely to change status next. This study tests whether …

Research Article Open Access Energy Loss and Panel Fault Detection in Solar photovoltaic Systems Using Extreme Gradient Boosting algorithm
Fatma Zehra Kardas, Kardas F, Adem Atmaca, Atmaca A
International Symposium on AI-Driven Engineering Systems 2025 https://doi.org/10.36287/setsci.22.59.001

Solar photovoltaic (PV) systems are widely adopted for sustainable energy production; however, physical defects such as glass breakage significantly reduce panel efficiency and system output. In this study, a real-world case analysis was conducted on a 1003 kW…

Research Article Open Access Earthquake Prediction Methodology Based On Neural Network Model
Azra Dilek Erhan, Erhan A, Ikhwan Kim, Kim I
6th International Symposium on Innovations in Scientific Areas 2024 https://doi.org/10.36287/setsci.18.1.00125

Forecasting earthquakes is challenging due to the difficulty in detecting underground phenomena. However, statistically, 30% of large earthquake foreshocks occur before the main shock, which indicates that, theoretically, it is possible to forecast them. Howev…

Research Article Open Access Investigation of Variables That Affect the Urban Water Consumption Over Some Districts of Konya City
Omıdullah Zeın Ebad, Zeın Ebad O, Volkan Yılmaz, Yılmaz V
4th International Symposium on Innovative Approaches in Engineering and Natural Sciences 2019 https://doi.org/10.36287/setsci.4.6.039

As it is known, the importance and consumption of water is increasing day by day due to industrial growth, population growth, advancement of technology and increasing living standards. Because of the limited water resources, the design, planning and forecastin…

Research Article Open Access Classification of Induction Motors by Fault Type with bidirectional Long-Short Term Memory Method
Ahmet Ali Süzen, Süzen A, Kıyas Kayaalp, Kayaalp K
4th International Symposium on Innovative Approaches in Engineering and Natural Sciences 2019 https://doi.org/10.36287/setsci.4.6.074

It is important to determine the initial level of failures of induction motors used in many industrial applications. The sudden stops of the system can be prevented with the pre-detection of the fault. The experiment mechanism was established to detect mechani…

Research Contributions (2019+)Peer reviewed by at least two reviewers
Open AccessCC BY 4.0
Open Discovery Metadata · DOI · OAI-PMH
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