Accelerating Training of Convolutional Neural Networks With Hessian-Free Optimization for Detecting Alzheimer’s Disease in Brain MRI by Marios Pafitis, Maria Constantinou, Chris Christodoulou

Get full text

Optimizing deep belief network for concrete crack detection via a modified design of ideal gas molecular dynamics by Tan Qin, Gongxing Yan, Huaguo Jiang, Minqi Shen, Andrea Settanni

“…The present research concentrates on the development of crack diagnosis algorithms based on vision using an optimized version of Deep Neural Network (DNN). The DNN model employed in the current study is the deep belief network (DBN), while the optimization technique is based on a newly designed variant of the Ideal Gas Molecular Movement (MIGMM). …”
Get full text

Optimized LDPC Matrices: Reducing and Redistributing 1 bits for Enhanced MAP Detection in Bit-Patterned Media Recording Systems by Thien An Nguyen, Jaejin Lee, Jong-Ho Lee

“…This interference complicates signal interpretation, making accurate data recovery more challenging and necessitating advanced detection methods. To address these challenges, sophisticated algorithms such as maximum a posteriori (MAP) detection have shown promise in improving data recovery by accounting for the probabilistic nature of signals and noise. …”
Get full text

Intrusion Detection for Wireless Sensor Network Using Particle Swarm Optimization Based Explainable Ensemble Machine Learning Approach by Shaikh Afnan Birahim, Avijit Paul, Fahmida Rahman, Yamina Islam, Tonmoy Roy, Mohammad Asif Hasan, Fariha Haque, Muhammad E. H. Chowdhury

“…This paper proposes a novel Intrusion Detection System (IDS) leveraging Particle Swarm Optimization (PSO) and an ensemble machine learning approach combining Random Forest (RF), Decision Tree (DT), and K-Nearest Neighbors (KNN) models to enhance the accuracy and reliability of intrusion detection in WSNs. …”
Get full text

Improved smart city security using a deep maxout network-based intrusion detection system with walrus optimization by Wahid Rajeh, Majed Aborokbah, Manimurugan S., Umar Albalawi, Ahamed Aljuhani, Osama Shibl Abdalghany Younes, Karthikeyan Periyasami

“…Methods This research addresses the need for robust intrusion detection systems (IDS) tailored to the unique challenges of securing public transportation within smart cities. …”
Get full text

OPTIMIZATIONS OF DEEP LEARNING OBJECTS DETECTION MODELS FOR INFERENCE ACCELERATION ON GENERAL-PURPOSE AND HARDWARE-ACCELERATED SINGLE-BOARD PLATFORMS by Dmytro Myroniuk, Bohdan Blahitko

“…The concepts of deep learning model optimization are analyzed. Materials and Methods. …”
Get full text

Optimizing timing and cost-effective use of plasma biomarkers in Alzheimer’s disease by Hsin-I Chang, Mi-Chia Ma, Kuo-Lun Huang, Chung-Gue Huang, Shu-Hua Huang, Chi-Wei Huang, Kun-Ju Lin, Chiung-Chih Chang

“…This study evaluates the diagnostic accuracy of a combined-panel approach using machine learning models and evaluated the biomarker significance. Methods We enrolled 371 participants, including AD (n = 143), non-AD (n = 159), and cognitively unimpaired (CU, n = 69) controls. …”
Get full text

Implementation of Explainable Ai in Deep Learning Methods for Multiclass Classification of Plant Diseases in Mango Leaves by Menaka Radhakrishnan

“…One way to optimize this yield is by early and accurate detection and diagnosis of crop diseases. …”
Get full text

THE DEFINITION OF MINIMUM NECESSARY DIMENSIONS OF THE DETECTION SYSTEMS OF SECURITY TELEVISION MONITORING ON INFORMATIZATION OBJECTS by Igor Vladimirovich Kaliberda

“…The geometrical dimensions of the detection systems of security television monitoring should be optimal for such tasks as intruder detection, recognition of known person, recognition of an unknown person and so on.The solution, allowing determining the minimum required parameters when building this system, is proposed. …”
Get full text

Social Media Text Stance Detection Based on Large Language Models by LI Juhao, SHI Lei, DING Meng, LEI Yongsheng, ZHAO Dongyue, CHEN Long

Get full text

Application of the innovative methods of mathematical modeling in the development of standards for providing the ambulatory link by doctors in Russia by N. E. Guryanova, M. A. Ivanova, L. A. Soprun

Get full text

Optimizing brain tumor detection in MRI scans through InceptionResNetV2 and deep stacked Autoencoders with SwiGLU activation and sparsity regularization by Vishal Awasthi, Mamta Tiwari, Amit Yadav, Gesu Thakur, Mamata Mayee Panda, Hemant Kumar, Shivneet Tripathi

Get full text

Reinforcement Learning With Deep Features: A Dynamic Approach for Intrusion Detection in IoT Networks by Mohamad Khayat, Ezedin Barka, Mohamed Adel Serhani, Farag Sallabi, Khaled Shuaib, Heba M. Khater

“…Furthermore, an RL-based IDS (RL-IDS) that incorporates RNNs and autoencoders with a deep Q-network was proposed to enhance threat detection. Experimental outcomes emphasize the superiority of the method, obtaining 99.45% accuracy with 70% training data and 99.80% with 80%. …”
Get full text

Hierarchical clustering methods in a task to find abnormal observations based on groups with broken symmetry by A. N. Kislyakov, S. V. Polyakov

“…The work is aimed at solving the actual problem of identification and interpretation of anomalous observations in the study of socio-economic processes. The proposed method is based on the use of a cluster approach to detecting anomalous observations. …”
Get full text

Identification of relevant analytical methods for adeno-associated virus stability assessment during formulation development by Carina Rodenstein, Eva Schmid, Natalia Markova, Andreas Seidl

“…However, these vectors are very unstable and usually have to be stored frozen at very low temperatures due to sub-optimal formulation conditions, in many cases. The development of superior formulations for viral vectors requires high-performance analytical methods. …”
Get full text

Logistics Hub Surveillance: Optimizing YOLOv3 Training for AI-Powered Drone Systems by Georgios Tepteris, Konstantinos Mamasis, Ioannis Minis

“…In this work, we propose methods to optimize the training of such high-performing systems. …”
Get full text

Spray Quality Assessment on Water-Sensitive Paper Comparing AI and Classical Computer Vision Methods by Inês Simões, Armando Jorge Sousa, André Baltazar, Filipe Santos

Get full text

The latest diagnostic methods for esophageal and gastric examinations. High-resolution manometry is now available in Ukraine by Yu.M. Stepanov, N.V. Prolom, S.O. Tarabarov

“…Thus, HR manometry has a key place among modern methods for diagnosing esophageal disorders, allowing not only to accurately detect motility disorders, but also to optimize treatment. …”
Get full text

Evaluation of sampling methods of Diaphorina citri Kuwayama (Hemiptera: Liviidae) in two citrus growing areas by Lumey Perez-Artiles, José Mauricio Montes Rodríguez, Madeleyne Parra-Fuentes, Carlos Esteban Brochero-Bustamante, Juan Felipe Ossa-Yepes, Luisa Fernanda Guzmán-Sánchez

“…For adults, an optimal sample size was determined for each method. …”
Get full text

Earth-Skimming Ultrahigh Energy Tau Neutrinos Simulated with Monte Carlo Method and CONEX Code by Bouzid Boussaha, Tariq Bitam

Get full text