Browsing by Subject "Machine learning"
Now showing items 21-37 of 37
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Human and machine: The impact of machine input on decision making under cognitive limitations
(Informs, 2023-03)The rapid adoption of artificial intelligence (AI) technologies by many organizations has recently raised concerns that AI may eventually replace humans in certain tasks. In fact, when used in collaboration, machines can ... -
Human movement recognition with dynamic movement primitives
(2015-09)Dynamic Movement Primitives (DMPs)-originally a method for movement trajectory generation has been also used for recognition tasks. However there has not been a systematic comparison between other recognition methods and ... -
Incremental analysis of large-scale system logs for anomaly detection
(IEEE, 2019)Anomalies during system execution can be detected by automated analysis of logs generated by the system. However, large scale systems can generate tens of millions of lines of logs within days. Centralized implementations ... -
Land subsidence susceptibility mapping using interferometric synthetic aperture radar (InSAR) and machine learning models in a semiarid region of iran
(MDPI, 2023-04)Most published studies identify groundwater extraction as the leading cause of land subsidence (LS). However, the causes of LS are not only attributable to groundwater extraction. Other land-use practices can also affect ... -
Machine learning to predict junction temperature based on optical characteristics in solid-state lighting devices: A test on WLEDs
(MDPI, 2022-08)While junction temperature control is an indispensable part of having reliable solid-state lighting, there is no direct method to measure its quantity. Among various methods, temperature-sensitive optical parameter-based ... -
MaLeFICE: Machine learning support for continuous performance improvement in computational engineering
(Wiley, 2022-04-25)Computer aided engineering (CAE) practices improved drastically within the last decade due to ease of access to computing resources and open-source software. However, increasing complexity of hardware and software settings ... -
Minimizing false positive rate for DoS attack detection: A hybrid SDN-based approach
(Elsevier, 2020-06)Denial of Service attacks (DoS) are considered to be a major threat against today's communication networks. Recently, a novel networking paradigm that provides enhanced programming abilities has been proposed to attain an ... -
A new deep learning restricted boltzmann machine for energy consumption forecasting
(MDPI, 2022-08)A key issue in the desired operation and development of power networks is the knowledge of load growth and electricity demand in the coming years. Mid-term load forecasting (MTLF) has an important rule in planning and ... -
A new era of modeling MOF-based membranes: Cooperation of theory and data science
(Wiley, 2024-01)Membrane-based separation can offer significant energy savings over conventional separation methods. Given their highly customizable and porous structures, metal–organic frameworks- (MOFs) are considered as next-generation ... -
On the use of machine learning for predicting defect fix time violations
(Science and Technology Publications, 2022)Accurate prediction of defect fix time is important for estimating and coordinating software maintenance efforts. Likewise, it is useful to predict whether or not the initially estimated defect fix time will be exceeded ... -
A platform for personal e-mobility with route forecasting
(IEEE, 2020)This study reports a new e-mobility platform to construct effective usage of charging points by electric vehicle users to eliminate long charge durations. The e-mobility platform includes such subsystems as smartphones, ... -
A platform for personal e-mobility with route forecasting
(2021-01-14)Decreasing fossil fuel sources and increasing carbon exhaust rate makes human-beings lead to search on different technological fields and to develop new technology. Also, thanks to developing tendency to the clean energy ... -
Polarity classification of twitter messages using audio processing
(Elsevier, 2020-11)Polarity classification is one of the most fundamental problems in sentiment analysis. In this paper, we propose a novel method, Sound Cosine Similaritye Matching, for polarity classification of Twitter messages which ... -
ProbC: joint modeling of epigenome and transcriptome effects in 3D genome
(BioMed Central Ltd, 2022-12)Background: Hi-C and its high nucleosome resolution variant Micro-C provide a window into the spatial packing of a genome in 3D within the cell. Even though both techniques do not directly depend on the binding of specific ... -
Simulation of vehicles’ gap acceptance decision at unsignalized intersections using SUMO
(Elsevier, 2022)In this paper, an artificial neural network (ANN)-based gap acceptance behavior model was proposed. The feasibility of implementing this model in a microscopic simulation tool was tested using the application programming ... -
Using machine learning tools for forecasting natural gas consumption in the province of Istanbul
(Elsevier, 2019-05)Commensurate with unprecedented increases in energy demand, a well-constructed forecasting model is vital to managing energy policies effectively by providing energy diversity and energy requirements that adapt to the ... -
Validating android permission requests by analyzing APP descriptions
(2016-07)Android applications can access sensitive user data if they are granted certain permissions. Android security model gives users the responsibility to approve permission requests of applications. For this, a user needs to ...
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