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Recent Submissions

A techno-sustainable bio-waste management strategy for closing chickpea yield gap
Ozdemir, Saim; Özdemir, Serkan; Ozer, Hasan; YETİLMEZSOY, Kaan (Elsevier BV, 2021-01-01)
© 2020 Elsevier LtdSustainable development goals imply environmentally sound management of all wastes to minimize the waste generation through prevention, reduction, recycling, and reuse. In particular, the poultry industr...
Assessing the readiness of Turkish health information systems for integrating genetic/genomic patient data: System architecture and available terminologies, legislative, and protection of personal data.
Şık, Ayhan Serkan; Aydınoğlu, Arsev Umur; Aydın Son, Yeşim (Elsevier BV, 2020-12-08)
Advances in genetic/genomic research and translational studies drive the progress on molecular diagnosis, personalised treatment, and monitoring. Healthcare professionals and governments are encouraged to set administrativ...
In vitro effects of boric acid on human liver hepatoma cell line (HepG2) at the half-maximal inhibitory concentration
Tombuloğlu, Ayşegül; Çöpoğlu, Hülya; Aydın Son, Yeşim; Güray, Nülüfer Tülün (2020-12-01)
Boron is a prominent part of the human diet and one of the essential trace elements for humans. Dietary boron is mostly transformed into boric acid within the body and has been associated with desirable health outcomes. No...
Neural Network Based Pavement Condition Assessment with Hyperspectral Images
Özdemir, Okan Bilge; Soydan, Hilal; Yardimci Cetin, Yasemin; Düzgün, Hafize Şebnem (MDPI AG, 2020-12-01)
Hyperspectral image processing techniques, with their ability to provide information about the chemical compositions of materials, have great potential for pavement condition assessment. This study introduces a novel age-b...
Identification of nonlinear features in cortical and subcortical signals of Parkinson's Disease patients via a novel efficient measure
Özkurt, Tolga Esat; Akram, Harith; Zrinzo, Ludvic; Limousin, Patricia; Foltynie, Tom; Oswal, Ashwini; Litvak, Vladimir (Elsevier BV, 2020-12-01)
This study offers a novel and efficient measure based on a higher order version of autocorrelative signal memory that can identify nonlinearities in a single time series. The suggested method was applied to simultaneously ...
Implementation of a Generic Framework on Crowd Simulation: A New Environment to Model Crowd Behavior and Design Video Games
Yücel, Furkan; Sürer, Elif (2020-12-01)
Crowd behavior is the collective act and gathering of a group of individuals to achieve a shared purpose. Swarm intelligence-based optimization algorithms are usually used to solve complex problems for crowd behavior. Crow...
Developing a Space Syntax-Based Evaluation Method for Procedurally Generated Game Levels
Bıyık, Emin Alp; Sürer, Elif (2020-12-01)
Procedural content generation (PCG) has been an essential catalyzer in the last decade with its efficiency in creating game elements such as textures, game levels, and maps. Despite being successfully applied in various st...
Effects of interpersonal familiarity on the auditory distance perception of level-equalized reverberant speech
Demirkaplan, Ozgen; Hacıhabiboğlu, Hüseyin (2020-12-01)
Familiarity with sound sources is known to have a modulatory effect on auditory distance perception. However, the level of familiarity that can affect distance perception is not clearly understood. A subjective experiment ...
Continuous improvement on maturity and capability of Security Operation Centres
Acartürk, Cengiz; ULUBAY, MURAT; Erdur, Efe (2020-12-01)
This study addresses maturity and capability assessment of Security Operation Centres (SOC). It aims to contribute to continuous improvement for SOCs by proposing a complementary methodology that provides SOCs a self-asses...
An immersive performative architectural design tool with daylighting simulations: a building information modeling-based approach
Akin, Sahin; Ergun, Oguzcan; Sürer, Elif; Gürsel Dino, İpek (Emerald, 2020-11-01)
Purpose In performative architectural design, daylighting is a crucial design consideration; however, the evaluation of daylighting in the design process can be challenging. Immersive environments (IEs) can create a dynami...
Relational-Grid-World: a novel relational reasoning environment and an agent model for relational information extraction
Kucuksubasi, Faruk; Sürer, Elif (The Scientific and Technological Research Council of Turkey, 2020-11-01)
Developing a scenario-based video game generation framework for computer and virtual reality environments: a comparative usability study
Sürer, Elif; Erkayaoğlu, Mustafa; Öztürk, Zeynep Nur; Yücel, Furkan; Bıyık, Emin Alp; Altan, Burak; Şenderin, Büşra; Oğuz, Zeliha; Gürer, Servet; Düzgün, H. Şebnem (Springer Science and Business Media LLC, 2020-10-31)
Serious games—games that have additional purposes rather than only entertainment—aim to educate people, solve, and plan several real-life tasks and circumstances in an interactive, efficient, and user-friendly way. Emergen...
Online DDoS attack detection using Mahalanobis distance and Kernel-based learning algorithm
Cakmakci, Salva Daneshgadeh; Kemmerich, Thomas; Ahmed, Tarem; Baykal, Nazife (Elsevier BV, 2020-10-01)
Distributed denial-of-service (DDoS) attacks are constantly evolving as the computer and networking technologies and attackers' motivations are changing. In recent years, several supervised DDoS detection algorithms have b...
Predicting the Outcome of Limb Revascularization in Patients With Lower-extremity Arterial Trauma: Development and External Validation of a Supervised Machine-learning Algorithm to Support Surgical Decisions.
Perkins, Zane B.; Yet, Barbaros; Sharrock, Anna; Rickard, Rory; Marsh, William; Rasmussen, Todd E.; Tai, Nigel R M (Ovid Technologies (Wolters Kluwer Health), 2020-10-01)
Objectives: Estimating the likely success of limb revascularization in patients with lower-extremity arterial trauma is central to decisions between attempting limb salvage and amputation. However, the projected outcome ...
Identifying critical success factors for wearable medical devices: a comprehensive exploration
Degerli, Mustafa; Yildirim, Sevgi Ozkan (Springer Science and Business Media LLC, 2020-10-01)
For healthy living, the successful use of wearable medical devices such as smartwatches, smart clothes, smart glasses, sports/activity trackers, and various sensors placed on a body is getting more important as benefits of...
Catadioptric hyperspectral imaging, an unmixing approach
Baskurt, Didem Ozisik; BAŞTANLAR, YALIN; Çetin, Yasemin (Institution of Engineering and Technology (IET), 2020-10-01)
Hyperspectral imaging systems provide dense spectral information on the scene under investigation by collecting data from a high number of contiguous bands of the electromagnetic spectrum. The low spatial resolutions of th...
Blockchain-Based Supply Chain Management: Understanding the Determinants of Adoption in the Context of Organizations
Gökalp, Ebru; Gökalp, Mert Onuralp; Gökalp, Selin (Informa UK Limited, 2020-09-01)
This study investigates the importance of the determinants affecting the adoption and usage of blockchain-based SCM systems in the context of organizations. Hence, an SLR method was followed to uncover critical determinant...
A small library of chalcones induce liver cancer cell death through Akt phosphorylation inhibition
Sahin, Irem Durmaz; Christodoulou, Michael S.; Guzelcan, Ece Akhan; Koyas, Altay; Karaca, Cigdem; Passarella, Daniele; Atalay, Rengül (Springer Science and Business Media LLC, 2020-7-16)
Hepatocellular carcinoma (HCC) ranks as the fifth most common and the second deadliest cancer worldwide. HCC is extremely resistant to the conventional chemotherapeutics. Hence, it is vital to develop new treatment options...
DeepDistance: A multi-task deep regression model for cell detection in inverted microscopy images
Koyuncu, Can Fahrettin; Gunesli, Gozde Nur; Atalay, Rengül; GÜNDÜZ DEMİR, Çiğdem (Elsevier BV, 2020-07-01)
This paper presents a new deep regression model, which we call DeepDistance, for cell detection in images acquired with inverted microscopy. This model considers cell detection as a task of finding most probable locations ...
Evidence-based investment selection: Prioritizing agricultural development investments under climatic and socio-political risk using Bayesian networks
Yet, Barbaros; Lamanna, Christine; Shepherd, Keith D.; Rosenstock, Todd S. (Public Library of Science (PLoS), 2020-06-01)
Agricultural development projects have a poor track record of success mainly due to risks and uncertainty involved in implementation. Cost-benefit analysis can help allocate resources more effectively, but scarcity of data...