Evaluation method of network attack effect based on attack tree and CVSS by Pan Gang, Mi Shichao, Guo Ronghua, Huang Ligang, Wang Jinsuo, Li Kai

Get full text

Optimization Strategies in Quantum Machine Learning: A Performance Analysis by Nouf Ali AL Ajmi, Muhammad Shoaib

“…The performance of predictive models using these optimizers is rigorously evaluated through key metrics, including accuracy, precision, recall, and F1 score. …”
Get full text

Flexible Natural Language-Based Image Data Downlink Prioritization for Nanosatellites by Ezra Fielding, Akitoshi Hanazawa

Get full text

Comprehensive Evaluation of Techniques for Intelligent Chatter Detection in Micro-Milling Processes by Guilherme Serpa Sestito, Wesley Angelino De Souza, Alessandro Roger Rodrigues, Maira Martins Da Silva

“…These strategies can use machine learning (ML) and deep learning (DL) classifiers, but they should be able to lead with tight computational requirements. A smaller yet relevant set of features could aid these classifiers in coping with these requirements. …”
Get full text

Endonasal choanal atresia repair; evaluating the surgical results of 58 cases by Münir Demir Bajin, Övsen Önay, Rıza Önder Günaydın, Ömer Faruk Ünal, Ömer Taşkın Yücel, Umut Akyol, Canset Aydın

Get full text

INSTRUMENTAL AND BIOPHYSICAL METHOD OF EVALUATION TEST OF SEEDS OF GREEN VEGETABLE CULTURES by F. B. Musayev, V. A. Kharchenko, M. S. Antoshkina

“…The modern tool methods of evaluation test allow to glance in internal structure of seeds and to scoop more information. …”
Get full text

Towards a Decentralized Collaborative Framework for Scalable Edge AI by Ahmed M. Abdelmoniem , Mona Jaber , Ali Anwar , Yuchao Zhang , Mingliang Gao 

Get full text

Development of a smart cloud-based monitoring system for solar photovoltaic energy generation by Challa Krishna Rao, Sarat Kumar Sahoo, Franco Fernando Yanine

Get full text

A Novel Approach to Evaluate the Benefits of Casing Treatment in Axial Compressors by Guillaume Legras, Isabelle Trébinjac, Nicolas Gourdain, Xavier Ottavy, Lionel Castillon

Get full text

Comprehensive Review on the Exploitation of Advanced Memory Optimization Strategies to Improve Performance for Convolutional and Spiking Neural Networks in Medical Imaging Using Ha... by N. Srikanth Prasad, S. Sundar

“…Advanced memory optimization techniques are reviewed to enhance the performance of Convolutional Neural Networks (CNNs) and Spiking Neural Networks (SNNs) on hardware accelerators, addressing the real-world challenges in medical imaging. This review evaluates various platforms: In-Memory Computing (IMC), Field-Programmable Gate Array (FPGA), Python Productivity for Zynq (PYNQ-Z2), Graphics Processing Unit (GPU), and Application-Specific Integrated Circuit (ASIC) concerning overcoming memory bottlenecks, minimizing latency, and reducing energy consumption in Magnetic Resonance Imaging (MRI) reconstruction, Computed Tomography (CT) scan analysis, and real-time diagnostics. …”
Get full text

Fog-Enabled IoT Robotic System for Efficient Date Palm Monitoring in Moroccan Oases by Baghrous Mohamed, Ezzouhairi Abdellatif

“…To overcome the latency, bandwidth, and energy inefficiencies associated with cloud-based solutions, the system integrates the fog computing paradigm. Fog computing brings computational resources closer to the data source, enabling real-time processing and decision-making while reducing network congestion. …”
Get full text

Evaluation of Two Commercial Artificial Intelligence Segmentation Systems for Radiation Therapy by Chloe DiTusa, Jasmine Chen, Abbas Husain, Chris Schneider, Hamlet Spears, Nikos Paragios, Grant Debevec, Sotiri Stathakis

“…AI-generated structures were created on each computed tomography scan using two AI systems: MIM Protégé AI and TheraPanacea Annotate. …”
Get full text

Brain spect in the pre-surgical evaluation of epileptic patients preliminary results by Carlos A. Buchpiguel, Arthur Cukiert, Fausto H. Hironaka, Giovani G. Cerri, Alvaro E. A. Magalhães, Raul Marino Jr.

“…Pre-surgical evaluation of epileptic patients consists of neurological examination, intensive electroencephalographic (EEG) monitoring and anatomical studies (CT and MRI). …”
Get full text

An Evaluation of Treatment Time and Intrafraction Motion in Stereotactic Body Radiation Therapy by Leila Rough, Julie Burbery, Catriona Hargrave, Elizabeth Brown

“…Results The IGRT data associated with 332 CBCT images was evaluated. The average treatment time was longest in the liver (19.3 min), followed by lung (14.9 min) and spine (14.2 min). …”
Get full text

ALTERNATIVE MODEL FOR EVALUATING AERODROME CAPACITY BASED ON PRIORITIZED QUEUE SERVICE by A. K. Mitrofanov, M. A. Petrov, L. E. Rudel’son

“…It should provide participants with the joint organization of new software for rapid analysis of computer results. One of the possible directions of such support is discussed in this article.Analysis of the two priority model shows that the efficiency of priority service is reduced in the case of a large spread of values of average request processing time. …”
Get full text

LLMs in Action: Robust Metrics for Evaluating Automated Ontology Annotation Systems by Ali Noori, Pratik Devkota, Somya D. Mohanty, Prashanti Manda

Get full text

Using ERPs to unveil the authenticity evaluation and neural response to online rumors by Yi Ding, Xinyue Yang, Wengang Zhang, Wei Lyu, Mia Y. Wang

Get full text

Evaluating Python Static Code Analysis Tools Using FAIR Principles by Hassan Bapeer Hassan, Qusay Idrees Sarhan, Arpad Beszedes

Get full text

Enhancing workflow efficiency with a modified Firefly Algorithm for hybrid cloud edge environments by Deafallah Alsadie, Musleh Alsulami

“…Our proposed ModFOA integrates cloud and edge computing resources, offering an effective solution for scheduling workflows in these hybrid environments. …”
Get full text

Cache Contention Aware Virtual Machine Placement and Mitigation Using Adaptive ABC Algorithm by Bharati Ainapure, Nishu Gupta, Mohammad Derawi

“…The migration process is repeated iteratively until the cloud system achieves a contention-free state. The AABC algorithm evaluates metrics such as the total number of misses, computation time, and cache access, providing a comprehensive view of VM performance. …”
Get full text