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Anomaly Detection in Smart Home Environments using Convolutional Neural Network 

Ercan, Naci Mert; Sert, Mustafa (2021)
The use of smart devices in home environments has been increasing in recent years. The wireless connection of these devices to the internet enables smart homes to be built with less cost and hence, recognition of activities ...
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Twenty-Five Years Later Dortdivan Adaptation to Change and Resistance to Change in Dortdivan Revisit 

Cigdem, Üyesi (2021)
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Human Activity Recognition by Using Different Deep Learning Approaches for Wearable Sensors 

Erdas, Cagatay Berke; Guney, Selda (2021)
With the spread of wearable sensors, the solutions to the task of activity recognition by using the data obtained from the sensors have become widespread. Recognition of activities owing to wearable sensors such as ...
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A FMEA based novel intuitionistic fuzzy approach proposal: Intuitionistic fuzzy advance MCDM and mathematical modeling integration 

Yener, Yelda; Can, Gulin Feryal (2021)
This study proposes a novel three-stage intuitionistic fuzzy risk assessment (RA) approach based on Failure Modes and Effects Analysis (FMEA). In this study, it was paid attention for considering real constraints of firms ...
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The development of a reviewer selection method: a multi-level hesitant fuzzy VIKOR and TOPSIS approaches 

Kocak, Serdar; Ic, Yusuf Tansel; Atalay, Kumru Didem; Sert, Mustafa; Dengiz, Berna (2021)
This paper proposes a new approach for the selection of reviewers to evaluate research and development (R&D) projects using a new integrated hesitant fuzzy VIKOR and TOPSIS methodology. A reviewer selection model must have ...
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Development of a new trapezoidal fuzzy AHP-TOPSIS hybrid approach for manufacturing firm performance measurement 

Ic, Yusuf Tansel; Yurdakul, Mustafa (2021)
This study develops a multi-level hierarchical performance measurement model to measure a manufacturing firm's overall performance score by grading its success levels in critical operations and combining them. Linking ...
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Small Fiber Functionality in Patients with Diabetic Neuropathic Pain 

Unal-Cevik, Isin; Orhan, Diclehan; Acar-Ozen, Nazire Pinar; Mamak-Ekinci, Elmas Burcu (2021)
Objectives. Diabetic neuropathic pain is associated with small fiber neuropathy. We aimed to assess the functionality of small fibers in patients with diabetes by using a practical method. Design. Patients with impaired ...
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Neurodegenerative disease detection and severity prediction using deep learning approaches 

Erdas, Cagatay Berke; Sumer, Emre; Kibaroglu, Seda (2021)
Neurodegenerative diseases (NDDs) such as amyotrophic lateral sclerosis (ALS), Huntington's disease (HD), and Parkinson's disease (PD) can manifest themselves anatomically by degeneration in the brain as well as motor ...
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A novel electroencephalography based approach for Alzheimer's disease and mild cognitive impairment detection 

Oltu, Burcu; Aksahin, Mehmet Feyzi; Kibaroglu, Seda (2021)
Background and objective: Alzheimer's disease (AD) is characterized by cognitive, behavioral and intellectual deficits. The term mild cognitive impairment (MCI) is used to describe individuals whose cognitive impairment ...
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A mixed integer programming formulation for Smashed Sums puzzle: Generating and solving problem instances 

Kececi, Baris (2021)
Playing mind games and puzzles has 2500 years of known history. Puzzles and games constitute a research domain that is attracting the interest of scientists from numerous disciplines such as artificial and computational ...
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AuthorIc, Yusuf Tansel (7)Guney, Selda (6)Can, Gulin Feryal (4)Dengiz, Berna (4)Aksahin, Mehmet Feyzi (3)Agildere, Muhtesem (2)Atalay, Kumru Didem (2)Erdas, Cagatay Berke (2)Gulsen, Mehmet (2)Karaca, Busra Kubra (2)... View MoreSubjectClassification (3)Machine learning (3)correlation (2)Deep learning (2)deep learning (2)Hesitant fuzzy sets (2)MOORA (2)Statistical convergence (2)transfer learning (2)Turning process (2)... View MoreDate Issued
2021 (56)
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