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Virtual Machine Provisioning Within Data Center Host Machines Using Ensemble Model in Cloud Computing Environment
In the digital age of exponential data proliferation and growing computing demands, efficient resource management within data centers is crucial. A...
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Predictive Assessment of the Interior Quality of Apartments Based on Multimodal Data with Variable Visual Input
Multimodal analyses in the context of automated real estate valuation (AVM) offer the possibility of enriching the models with additional...
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A Semiautomatic Image Processing-Based Method for Binary Segmentation of Lungs in Computed Tomography Images
Precise biomedical image segmentation is pivotal in medical diagnosis and treatment. Among various methodologies, image processing-based techniques...
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On preferences and reward policies over rankings
We study the rational preferences of agents participating in a mechanism whose outcome is a ranking (i.e., a weak order) among participants. We...
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Project Report: Requirements for a Social Robot as an Information Provider in the Public Sector
Is it possible to integrate a humanoid social robot into the work processes or customer care in an official environment, e.g. in municipal offices?...
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REDQT: a method for automated mobile application GUI testing based on deep reinforcement learning algorithms
As mobile applications become increasingly prevalent in daily life, the demand for their functionality and reliability continues to grow. Traditional...
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Parameterized complexity of candidate nomination for elections based on positional scoring rules
Consider elections where the set of candidates is partitioned into parties, and each party must nominate exactly one candidate. The P ossible P resident ...
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Introducing the Cosine Clustering Index (CCI): A Balanced Approach to Evaluating Deep Clustering
Amidst the surge of Big Data, deep clustering emerges as a pivotal technique in machine learning, necessitating robust and interpretable evaluation...
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Automated generation of smart contract code from legal contract specifications with Symboleo2SC
Smart contracts (SCs) are software systems that monitor and partially control the execution of legal contracts to ensure compliance with the...
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A Novel Approach for Forecasting Price of Stock Market using Machine Learning Techniques
In today’s competitive business world, industries strive for rapid growth and leadership. Expanding a business requires additional capital, which can...
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Visual Question Answering Models for Zero-Shot Pedestrian Attribute Recognition: A Comparative Study
Pedestrian Attribute Recognition (PAR) poses a significant challenge in develo** automatic systems that enhance visual surveillance and human...
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Unveiling Interpretability: Analyzing Transfer Learning in Deep Learning Models for Traffic Sign Recognition
Since the advent of automobiles and driver assistance technologies, traffic sign recognition has been of the utmost importance for Industry 4.0. In...
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Human factors in model-driven engineering: future research goals and initiatives for MDE
Software modelling and model-driven engineering (MDE) is traditionally studied from a technical perspective. However, one of the core motivations...
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Lean Office Approach for Continuous Improvement Identification in the Admission Process of University Students
Smart campuses introduce teaching technologies in modern higher education, employing Information and Communication Technologies, sensor networks,...
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Optimizing Crowd Counting in Dense Environments Through Curriculum Learning Training Strategy
Counting individuals in highly crowded environments, characterized by thousands of people, has garnered significant attention in recent years, due to...
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RLCA-Robust Lightweight Cryptographic Paradigm for Secure Data Transfer Between IoT Devices
IoT has grown in popularity and acceptance as a result of its numerous uses across different industries. They gather information from the live...
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Computational intelligence-based classification system for the diagnosis of memory impairment in psychoactive substance users
Computational intelligence techniques have emerged as a promising approach for diagnosing various medical conditions, including memory impairment....
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An Integrated Approach of Efficient Edge Task Offloading Using Deep RL, Attention and MDS Techniques
In Distributed Computation Optimization (DCO) networks, where clients distribute computational jobs among heterogeneous helpers with different...
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Enhancement and formal verification of the ICC mechanism with a sandbox approach in android system
Inter-Component Communication (ICC) plays a crucial role in facilitating information exchange and functionality integration within the complex...
