Search Results - "Akbal, Erhan"

Vehicle Interior Sound Classification Based on Local Quintet Magnitude Pattern and Iterative Neighborhood Component Analysis by Akbal, Erhan, Tuncer, Turker, Dogan, Sengul

“…Nowadays, environmental sound classification (ESC) has become one of the most studied research areas. Sound signals that are indistinguishable from the human…”
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An automated multispecies bioacoustics sound classification method based on a nonlinear pattern: Twine-pat by Akbal, Erhan, Dogan, Sengul, Tuncer, Turker

“…Categorizing the bioacoustic and ecoacoustic properties of animals is great interest to biologists and ecologists. Also, multidisciplinary studies in…”
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Development of accurate automated language identification model using polymer pattern and tent maximum absolute pooling techniques by Tuncer, Turker, Dogan, Sengul, Akbal, Erhan, Cicekli, Abdullah, Rajendra Acharya, U.

“…Various language identification tools and methods have been used in the real world. These applications can detect language using text or images. However, there…”
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Forensic analysis of BiP Messenger on android smartphones by Akbal, Erhan, Baloglu, Ibrahim, Tuncer, Turker, Dogan, Sengul

“…Nowadays, social media applications and communication tools are utilized as communication platforms and the vast majority of communication is performed using…”
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A Digital Forensics Approach for Lost Secondary Partition Analysis using Master Boot Record Structured Hard Disk Drives by Akbal, Erhan, Yakut, Ömer Faruk, Dogan, Sengul, Tuncer, Türker, Ertam, Fatih

“…The development and widespread use of computer systems has increased the need for secure storage of data. At the same time, the analysis of digital data…”
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An automated environmental sound classification methods based on statistical and textural feature by Akbal, Erhan

“…Determining the location from environmental sounds is crucial for digital forensics. Therefore, it is possible to predict about the sounds obtained using the…”
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A learning model for automated construction site monitoring using ambient sounds by Akbal, Erhan, Tuncer, Turker

“…Construction site monitoring is an important task to analyze, measure, and monitor the activities in the construction site. In order to present/develop an…”
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Multileveled ternary pattern and iterative ReliefF based bird sound classification by Tuncer, Turker, Akbal, Erhan, Dogan, Sengul

“…Birds may need to be identified for purposes such as environmental monitoring, follow-up, and species detection in the ecological area. Automatic sound…”
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A novel ternary and signum kernelled linear hexadecimal pattern and hybrid feature selection based environmental sound classification method by Dogan, Sengul, Akbal, Erhan, Tuncer, Turker

“…[Display omitted] •An automated classification method for ESC is proposed.•New ESC dataset is publicly published.•A novel feature extractor, namely-TSK-LHP is…”
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FusedTSNet: An automated nocturnal sleep sound classification method based on a fused textural and statistical feature generation network by Akbal, Erhan, Tuncer, Türker

“…Nowadays, many people have suffered from sleep disorders. These diseases affect daily life and can disrupt sanity. Sleep disorders/diseases can be diagnosed by…”
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An automated snoring sound classification method based on local dual octal pattern and iterative hybrid feature selector by Tuncer, Turker, Akbal, Erhan, Dogan, Sengul

“…•A new feature generation function is presented and it is named LDOP.•A multilevel feature generation network is presented by using both DWT and LDOP.•An…”
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Enhancing speech emotion recognition through deep learning and handcrafted feature fusion by Güneş Eriş, Fatma, Akbal, Erhan

“…•Proposed model fuses deep learning-based and handcrafted audio features.•The model achieved an accuracy of 92.55 % on the constructed multi-corpus…”
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An automated accurate sound-based amateur drone detection method based on skinny pattern by Akbal, Erhan, Akbal, Ayhan, Dogan, Sengul, Tuncer, Turker

“…Nowadays, the popularity of amateur drones (ADr) has increased marginally, and many research areas, such as machine learning, security systems, and the…”
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Explainable automated anuran sound classification using improved one-dimensional local binary pattern and Tunable Q Wavelet Transform techniques by Akbal, Erhan, Barua, Prabal Datta, Dogan, Sengul, Tuncer, Turker, Acharya, U. Rajendra

“…Classification of animal species using animal sounds is a critical issue for bioacoustics work. Especially the determination of anurans (frogs or toads)…”
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DesPatNet25: Data encryption standard cipher model for accurate automated construction site monitoring with sound signals by Akbal, Erhan, Barua, Prabal Datta, Dogan, Sengul, Tuncer, Turker, Acharya, U. Rajendra

“…•A multiple kernel based DES pattern is proposed.•A new sound dataset was collected to detect CSM tasks.•New hand-modeled learning model is proposed and it is…”
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Automated brain disease classification using exemplar deep features by Kursad Poyraz, Ahmet, Dogan, Sengul, Akbal, Erhan, Tuncer, Turker

“…•A brain diseases dataset was collected retrospectively.•An exemplar deep feature generator is presented.•Five classifiers were deployed to show general…”
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Development of novel automated language classification model using pyramid pattern technique with speech signals by Akbal, Erhan, Barua, Prabal Datta, Tuncer, Turker, Dogan, Sengul, Acharya, U. Rajendra

“…Language classification using speeches is a complex issue in machine learning and pattern recognition. Various text and image-based language classification…”
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Application of substitution box of present cipher for automated detection of snoring sounds by Dogan, Sengul, Akbal, Erhan, Tuncer, Turker, Acharya, U. Rajendra

“…•Classification of snoring sound in to V, O, T and E categories.•Nonlinear feature generation function (Present-Pat) using SBox of the present cipher is…”
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Swin-PHOG-LPQ: An accurate computed tomography images classification model using Swin architecture with handcrafted features by Kaya, Davut, Gurbuz, Sukru, Okan Yildirim, I., Akbal, Erhan, Dogan, Sengul, Tuncer, Turker

“…•A novel swin-based feature engineering model has been presented.•A new CT image dataset was collected.•Swin-PHOG-LPQ is a lightweight model and an advanced…”
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Exemplar deep and hand-modeled features based automated and accurate cerebral hemorrhage classification method by Din, M.Sait, Gurbuz, Sukru, Akbal, Erhan, Dogan, Sengul, Durak, M.Akif, Yildirim, I.Okan, Tuncer, Turker

“…•A novel MRI dataset is collected to classify hemorrhage.•An exemplar deep feature generation network is proposed.•A new MRI classification method is…”
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