Başlık için Computer Engineering listeleme
Toplam kayıt 139, listelenen: 10-29
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Brain tumor classification using MRI images and convolutional neural networks
(Institute of Electrical and Electronics Engineers Inc., 2022)The brain tumor has become one of the most prominent types of cancers affecting a huge population across the globe every year. It has the lowest life expectancy rate and the risk of death is highly associated with the type, ... -
Brain tumor detection and segmentation: Interactive framework with a visual interface and feedback facility for dynamically improved accuracy and trust
(Public Library of Science, 2023)Brain cancers caused by malignant brain tumors are one of the most fatal cancer types with a low survival rate mostly due to the difficulties in early detection. Medical professionals therefore use various invasive and ... -
BreCaHAD: A dataset for breast cancer histopathological annotation and diagnosis
(BioMed Central Ltd., 2019)Objectives: Histopathological tissue analysis by a pathologist determines the diagnosis and prognosis of most tumors, such as breast cancer. To estimate the aggressiveness of cancer, a pathologist evaluates the microscopic ... -
Busy tone based coexistence algorithm for WRAN and WLAN systems in TV white space
(Institution of Engineering and Technology-IET, 2018)TV White Space (TVWS) refers to frequency band reserved only for licensed terrestrial TV broadcasting and is opened to unlicensed use under regulatory conditions. While regulations protect licensed systems from interference, ... -
CACTUS: cancer image annotating, calibrating, testing, understanding and sharing in breast cancer histopathology
(NLM (Medline), 2020)OBJECTIVE: Develop CACTUS (cancer image annotating, calibrating, testing, understanding and sharing) as a novel web application for image archiving, annotation, grading, distribution, networking and evaluation. This helps ... -
Catalytically competent non-transforming H-RASG12P mutant provides insight into molecular switch function and GAP-independent GTPase activity of RAS
(Nature Publishing Group, 2019)RAS mutants have been extensively studied as they are associated with development of cancer; however, H-RASG12P mutant has remained untouched since it does not lead to transformation in the cell. To the best of our knowledge, ... -
Causes of higher ecological footprint in Pakistan: Does energy consumption contribute? Evidence from the non-linear ARDL model
(MDPI, 2023)The impact of human activities on environmental degradation has been increasing over time, and ecological footprint measures the impact of human activities on the environment. An increase in ecological footprint has created ... -
Classes versus communities: Outlier detection and removal in tabular datasets via social network analysis (ClaCO)
(Institute of Electrical and Electronics Engineers Inc., 2023)In this research, we introduce a model to detect inconsistent & anomalous samples in tabular labeled datasets which are used in machine learning classification tasks, frequently. Our model, abbreviated as the ClaCO (Classes ... -
A comparative study of different pre-trained deeplearning models and custom CNN for pancreatic tumor detection
(Zarka Private University, 2023)Artificial Intelligence and its sub-branches like MachineLearning (ML) and Deep Learning (DL) applications have the potential to have positive effects that can directly affect human life. Medical imaging is briefly making ... -
Computational approaches in antibody-drug conjugate optimization for targeted cancer therapy
(Bentham Science Publishers Ltd, 2018)Cancer has become one of the main leading causes of morbidity and mortality worldwide. One of the critical drawbacks of current cancer therapeutics has been the lack of the target-selectivity, as these drugs should have ... -
Convex hull in brain tumor segmentation
(Springer Science and Business Media Deutschland GmbH, 2022)Tumors are the second leading cause of death. Among the tumors, brain tumors constitute one of the most complex tumor categories with a high mortality rate. Therefore, brain tumor detection and segmentation from non-invasive ... -
Crowd behavior modeling in emergency evacuation scenarios using belief-desire-intention model
(Springer International Publishing AG, 2020)... -
CutESC: Cutting edge spatial clustering technique based on proximity graphs
(Elsevier, 2019)In this paper, we propose a cut-edge algorithm for spatial clustering (CutESC) based on proximity graphs. The CutESC algorithm removes edges when a cut-edge value for the edge's endpoints is below a threshold. The cut-edge ... -
Cyber security exercises: A comparison of participant evaluation metrics and scoring systems
(Ios Press, 2017)Cyber security exercises became an important tool for the information security domain for various reasons. Raising awareness, improving readiness to cyber-attacks, and testing capabilities of experts before a real incident ... -
Cyber-WISE: A cyber-physical deep wireless indoor positioning system and digital twin approach
(Multidisciplinary Digital Publishing Institute (MDPI), 2023)In recent decades, there have been significant research efforts focusing on wireless indoor localization systems, with fingerprinting techniques based on received signal strength leading the way. The majority of the suggested ... -
Data on cut-edge for spatial clustering based on proximity graphs
(Elsevier, 2020)Cluster analysis plays a significant role regarding automating such a knowledge discovery process in spatial data mining. A good clustering algorithm supports two essential conditions, namely high intra-cluster similarity ... -
A deep learning approach to permanent tooth germ detection on pediatric panoramic radiographs
(Korean Acad Oral and Maxillofacial Radiology, 2022)Purpose: The aim of this study was to assess the performance of a deep learning system for permanent tooth germ detection on pediatric panoramic radiographs.Materials and Methods: In total, 4518 anonymized panoramic ... -
Deep learning for inverse problems in imaging
(IEEE, 2019)Inverse problems have been widely studied in image processing, with applications in areas such as image denoising, blind/non-blind deblurring, super-resolution and compressive sensing. Lately deep learning techniques and ... -
Deep learning- and word embedding-based heterogeneous classifier ensembles for text classification
(Wiley-Hindawi, 2018)The use of ensemble learning, deep learning, and effective document representation methods is currently some of the most common trends to improve the overall accuracy of a text classification/categorization system. Ensemble ... -
Deep learning-based blind image super-resolution using iterative networks
(Institute of Electrical and Electronics Engineers Inc., 2021)Deep learning-based single image super-resolution (SR) consistently shows superior performance compared to the traditional SR methods. However, most of these methods assume that the blur kernel used to generate the ...
