Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 36 for “"recognition model"”.
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Using genetic algorithm to "fool" HMAX object recognition model
HMAX ("Hierarchical Model and X") system is among the best machine vision approaches developed today, in many object recognition tasks [1]. HMAX decomposes an image into features which are passed to a classifier. These features each capture information about a small section of the input image but …
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iHear – Lightweight Machine Learning Engine with Context Aware Audio Recognition Model
… cloud-based learning from smartphone-based recognition 2) The context-aware model for improvement of the accuracy and efficiency in audio recognition and sound enhancement 3) Audio recognition with real-time data preserving data consistency. 4) An intelligent hearing app for IOS devices …
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Toward the understanding of TIR-NB-LRR–mediated immunity; study of the AvrRps4 recognition model in Arabidopsis
The recognition of pathogen–secreted effectors is a major component of plant innate immunity and is mainly mediated by NB-LRR resistance (R) proteins. However, the mechanisms by which NB-LRR proteins recognize effectors and induce downstream signaling events are poorly known. This PhD work focused …
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COLLABORATIVE APPROACHES FOR SENSOR-BASED HUMAN ACTIVITY RECOGNITION IN DATA SCARCITY SCENARIOS
One of the most important goals of Human Activity Recognition (HAR) is to automatically obtain information on the behaviors of the users to proactively assist them with their tasks. In the literature, the majority of physical activity recognition approaches rely on fully- supervised techniques to …
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Constructing Low Resource Approaches to Improve Speech-to-text Translation from Modern Standard Arabic to English
… translation. In step 1, we use a speech recognition model to transcribe the Arabic speech into Arabic text. In step 2, we leverage unsupervised machine translation to learn a mapping between the output of the speech recognition model (transcribed Arabic) and Modern Standard Arabic (formal …
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Evolution of Altruism and Eusociality: Toward a Cost/Benefit Analysis of Fitness and Genetic Relatedness
… individual fitness is reduced. A different modeling approach has led to a challenge to this theory. The modelers claim that relatedness is not causal, that eusocial behavior is very hard to evolve requiring more workers before the queen increased fitness, and that there is no conflict …
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Change detection for activity recognition.
Activity Recognition is concerned with identifying the physical state of a user at a particular point in time. Activity recognition task requires the training of classification algorithm using the processed sensor data from the representative population of users. The accuracy of the generated model …
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Investigations of molecular recognition processes
… structure-activity relationships, chiral recognition models were proposed. For one class of CSP, the chiral recognition model has been further supported using spectroscopic and chromatographic evidence. Two $\alpha$-amino phosphonate derived CSPs were prepared and their ability to separate …
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Robust speaker recognition in reverberant condition : toward greater biometric security
Automatic speaker recognition systems have developed into an increasingly relevant technology for security applications in modern times. The primary challenge for automatic speaker recognition is to deal with the variability of the environments and channels from where the speech was obtained. In …
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Design, synthesis, and evaluation of conformationally rigid naproxen chiral selectors
… are designed and synthesized based on our chiral recognition hypothesis. When bonded to silica, this type of chiral selectors of rigid conformation are evaluated chromatographically and demonstrate enhanced enantioselectivity towards naproxen and other members of profens, an important group of …
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Recognizing human emotional states from body movement
… the problem of the creation of a computer model capable of automatically discerning emotion using various motion-related features of the human body. The proposed emotion recognition model automatically identifies relevant motion features using a combination of filter-based feature selection …
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Preparation and evaluation of several new pi-basic chiral stationary phases
… additional support for the proposed chiral recognition model between N-(3,5-dinitrobenzoyl)amino acid derivatives and N-arylamino acid derived CSPs.
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Detection of safety vests and face recognition
… violation. The system combines FaceNet, a facial recognition model to identify workers, and YOLOv8n, technology that can analyse real-time video footage to identify personnel and assess safety compliance protocols. The proposed dual functioning system coded with Python and developed in Jupyter …
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Enhancement of recollection of affective events: contrast effects or differential processing?
… that there appear to be two processes underlying recognition and these are commonly referred to as recollection and familiarity (Yonelinas, 2002). Two experiments examined how these two underlying processes of recognition may be differentially influenced by the affect of an event. The …
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Person detection : unmanned system and small sensor applications
… and video is highly desired. Several object recognition algorithms have demonstrated successful detection of multiclass objects with varied scale, position and orientation. This study examines the effectiveness of these methods when applied to detecting humans in two distinct domains: A) …
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Direct Liquid Chromatographic Separation of Enantiomers of Phthalides, Phthalimidines and Related Compounds on Chiral Stationary Phases
… bonded to aminopropyl silanized silica. A chiral recognition model for the separation of phthalide enantiomers has been formulated based on the observed chromatographic behavior of these phthalides. Assignment of elution orders based on the a priori model proposed are consistent with those …
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Secure inference of quantized neural networks
Running image recognition algorithms on medical datasets raises several privacy concerns. Hospitals may not have access to an image recognition model that a third party may have developed, and medical images are HIPAA protected and thus, cannot leave hospital servers. However, with secure neural …
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Text-independent speaker recognition
… research presents new text-independent speaker recognition system with multivariate tools such as Principal Component Analysis (PCA) and Independent Component Analysis (ICA) embedded into the recognition system after the feature extraction step. The proposed approach evaluates the performance of …
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A Study of Face Embedding in Face Recognition
<p>Face Recognition has been a long-standing topic in computer vision and pattern recognition field because of its wide and important applications in our daily lives such as surveillance system, access control, and so on. The current modern face recognition model, which keeps only a couple of …
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Semantic and spatio-temporal understanding for computer vision driven worker safety inspection and risk analysis
… worker-tool interactions. A detection model is trained on a newly constructed image dataset for construction sites, achieving 52.9% mean average precision for 10 object categories and 89.4% average precision for detecting workers. Using this detector and new dataset, the proposed …
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