Results 51 to 60 of about 2,576 (162)

Generative Augmentation and Temporal Feature Extraction With Deep Learning for Enhanced Malaria Stage Classification

open access: yesApplied Computational Intelligence and Soft Computing, Volume 2026, Issue 1, 2026.
Malaria is one of the most serious public health challenges that requires effective diagnostic methodologies in aid of its management and control. The work herein proposes a hybrid deep learning model that merges GANs with LSTMs to classify malaria parasites through imaging.
Boluwatife Elizabeth Ogundiran   +4 more
wiley   +1 more source

Darknet – selected criminological, forensic and legal aspects of encrypted computer networks

open access: yesActa Universitatis Lodziensis Folia Iuridica, 2018
The article raises issues concerning encrypted networks, their content and security. The following terms are explained: Darknet, Deep Web and Dark Web. The article presents some technical aspects of The Onion Router software and its origins.
Hubert Wojciechowski
doaj   +1 more source

Deep Learning–Based Intelligent Detection of Shield Tunnel Lining Defects: A Comprehensive Review of Image Classification, Object Detection, and Semantic Segmentation

open access: yesAdvances in Civil Engineering, Volume 2026, Issue 1, 2026.
Shield tunnels are crucial for urban transit systems, yet they are susceptible to defects like cracks and leaks that compromise structural integrity and safety. Traditional inspection methods are inefficient and subjective. This paper provides a comprehensive review of deep learning–based intelligent detection methods for shield tunnel lining defects ...
Decai Wang   +8 more
wiley   +1 more source

Recognition of Different Types of Leukocytes Using YOLOv2 and Optimized Bag-of-Features

open access: yesIEEE Access, 2020
White blood cells (WBCs) protect human body against different types of infections including fungal, parasitic, viral, and bacterial. The detection of abnormal regions in WBCs is a difficult task.
Muhammad Sharif   +6 more
doaj   +1 more source

Multiclass objects detection algorithm using DarkNet-53 and DenseNet for intelligent vehicles

open access: yesEURASIP Journal on Advances in Signal Processing, 2023
Intelligent vehicles should not only be able to detect various obstacles, but also identify their categories so as to take an appropriate protection and intervention.
Lina Yang, Gang Chen, Wenyan Ci
doaj   +1 more source

Deep mining port scans from darknet [PDF]

open access: yesInternational Journal of Network Management, 2019
SummaryTCP/UDP port scanning or sweeping is one of the most common technique used by attackers to discover accessible and potentially vulnerable hosts and applications. Although extracting and distinguishing different port scanning strategies is a challenging task, the identification of dependencies among probed ports is primordial for profiling ...
Lagraa, Sofiane   +2 more
openaire   +2 more sources

Transmission Line Defect Detection in Low‐Light Environments Using Image Adversarial Synthesis and the LCDD‐YOLO Algorithm

open access: yesInternational Journal of Intelligent Systems, Volume 2026, Issue 1, 2026.
To address the requirements for high‐precision detection of transmission line defects by inspection drones in low‐light environments such as cloudy days and to overcome the problem of significant accuracy degradation in current defect detection algorithms under low‐light conditions, this paper uses YOLOv8 as the baseline algorithm.
Yuxin Zhu   +2 more
wiley   +1 more source

Anonimnost i digitalne granice prava: izazovi visokotehnološkog kriminaliteta i nove istražne tehnike

open access: yesStrani pravni život
U radu se analiziraju izazovi koje anonimnost korisnika interneta, pre svega TOR mreže i darkneta, postavlja pred krivičnopravnu teoriju i praksu. Centralni deo rada odnosi se na studiju slučaja Playpen, odnosno na pravne i etičke dileme koje su se ...
Irena R. Čučilović
doaj   +1 more source

UAV-YOLO: Small Object Detection on Unmanned Aerial Vehicle Perspective

open access: yesSensors, 2020
Object detection, as a fundamental task in computer vision, has been developed enormously, but is still challenging work, especially for Unmanned Aerial Vehicle (UAV) perspective due to small scale of the target.
Mingjie Liu   +5 more
doaj   +1 more source

LA‐YOLO: Location Refinement and Adjacent Feature Fusion‐Based Infrared Small Target Detection

open access: yesCAAI Transactions on Intelligence Technology, Volume 10, Issue 6, Page 1893-1903, December 2025.
ABSTRACT In the field of infrared small target detection (ISTD), the ability to detect targets in dim environments is critical, as it improves the performance of target recognition in nighttime and harsh weather conditions. The blurry contour, small size and sparse distribution of infrared small targets increase the difficulty of identifying such ...
Shijie Liu   +9 more
wiley   +1 more source

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