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Anomaly Detection in Smart Home Environments using Convolutional Neural Network
(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 ...
A New Methodology for Solving Multiobjective Chance-Constrained Problems: An Application on IoT Systems
(2021)
This study presents a newly developed methodology to transform the chance-constrained problem into a deterministic problem and then solving this multiobjective deterministic problem with the proposed method. Chance-constrained ...
Determination of periodic inspection time in pressurized equipment exposed to fatigue by estimating the probability of fracture
(2021)
It is essential to inspect the pressurized equipment such as vessels, pipes, heat exchangers, boilers, etc., which are under the influence of variable load periodically to minimize the possibility of damage occurring or ...
A goal programming approach for multi objective, multi-trips and time window routing problem in home health care service
(2021)
The structure of services in the health sector is changed by the epidemic diseases affecting the world, the population growth and developing technologies. Due to the advantages it provides, home health care (HHC) services ...
Human Activity Recognition by Using Different Deep Learning Approaches for Wearable Sensors
(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 ...
A FMEA based novel intuitionistic fuzzy approach proposal: Intuitionistic fuzzy advance MCDM and mathematical modeling integration
(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 ...
The development of a reviewer selection method: a multi-level hesitant fuzzy VIKOR and TOPSIS approaches
(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 ...
Development of a new trapezoidal fuzzy AHP-TOPSIS hybrid approach for manufacturing firm performance measurement
(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 ...
Small Fiber Functionality in Patients with Diabetic Neuropathic Pain
(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 ...