On Lightweight Intrusion Detection: Modeling and Detecting Intrusions Dedicated to OLSR Protocol by Mouhannad Alattar, Françoise Sailhan, Julien Bourgeois

“…Contrary to existing systems that monitor the packets going through the host, our system analyses the logs so as to identify patterns of misuse. This detector scopes with the resource-constraints of ad hoc devices by providing distributed detection; in particular, depending on the level of suspicion and gravity, in-depth cooperative diagnostic may be launched. …”
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A Neutrosophic Framework for Artificial Immune Systems by Florentin Smarandache, Antonios Paraskevas

“…A numerical example, from the field of computer security, illustrates the application of the suggested approach in detecting non-self entities. With the addition of neutrosophic logic, the proposed model significantly enhances AIS’s adaptability and pattern recognition capabilities, addressing uncertainties inherent in real-world applications.…”
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Two-dimensional Sparse Antenna Array of a Passive Coherent Radar using a Parametric Algorithm of Signal Processing via the Section Method by V. M. Kutuzov, V. I. Veremyev, M. A. Ovchinnikov, G. V. Komarov

“…As a result, the AA becomes sparse, which negatively affects the quality of the AA three-dimensional antenna pattern (AP). The section method based on the modified parametric Burg algorithm is a promising and relevant method for constructing directional characteristics. …”
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Assessment of Rifampicin Resistance in Presumptive Tuberculosis Cases at Dadeldhura Hospital of Sudurpaschim Province of Nepal by Madan Singh Bohara

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“Keeleteadlane raputab lausemalle korpusest loendisse”: lausemallide automaatse tuvastamise esimesed sammud by Kertu Saul, Kadri Muischnek, Jelena Kallas

“…These advancements aim to refine automatic valency pattern detection and enhance grammatical information presentation within Estonian lexicographical resources. …”
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A Novel Connected-Components Algorithm for 2D Binarized Images by Costin-Anton Boiangiu, Giorgiana-Violeta Vlăsceanu, Constantin-Eduard Stăniloiu, Nicolae Tarbă, Mihai-Lucian Voncilă

“…Unlike conventional pixel-based methods that scan and label individual pixels using global buffers or disjoint-set structures, our approach encodes rows as linked segments and merges them using a union-by-size strategy. We accelerate run detection by using a precomputed 16-bit cache of binary patterns, allowing for fast decoding without relying on bitwise CPU instructions. …”
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Effect of ischemic injury characteristics on left ventricular systolic function in patients with acute myocardial infarction by V. E. Oleinikov, L. I. Salyamova, N. A. Donetskskaya, A. V. Vdovkin

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An Integrated Preprocessing and Drift Detection Approach With Adaptive Windowing for Fraud Detection in Payment Systems by Hadi M. R. Al Lawati, Anazida Zainal, Bander Ali Saleh Al-Rimy, Mohammad Al-Azawi, Mohamad Nizam Kassim, Sultan Ahmed Almalki, Tami Abdulrahman Alghamdi

“…The findings show that the framework can adjust to changing patterns of fraud, reduce false positives, and enhance detection performance. …”
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Electromagnetic target detection model for unmanned aerial vehicle platforms based on Bayesian detection by DENG Wenjie, CHEN Song, WU Di, LIU Kaiyue, XU Ziliang, HE Runze

“…To address this issue, this paper, grounded in the Bayesian signal detection theory and utilizing the distributional characteristics of antenna pattern diagrams, constructs an electromagnetic detection model for unmanned aerial vehicle platforms. …”
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Optimized classification of potato leaf disease using EfficientNet-LITE and KE-SVM in diverse environments by Gopal Sangar, Velswamy Rajasekar

“…EfficientNet-LITE improves the model's emphasis on pertinent features through Channel Attention (CA) and 1-D Local Binary Pattern (LBP), while preserving computational economy with a reduced model size of 12.46 MB, fewer parameters at 3.11M, and a diminished FLOP count of 359.69 MFLOPs.ResultsBefore optimization, the SVM classifier attained an accuracy of 79.38% on uncontrolled data and 99.07% on laboratory-controlled data. …”
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Ultrasonographicpotencial in detection of Acute Appendicitis by V. N. Piskunov, V. D. Zavadovskaya, N. G. Zavyalova

“…In case of empyema vermiform appendix vascular pattern in the wall is detected only in mesentery area. …”
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Intrusion Detection Based on Sequential Information Preserving Log Embedding Methods and Anomaly Detection Algorithms by Czangyeob Kim, Myeongjun Jang, Seungwan Seo, Kyeongchan Park, Pilsung Kang

“…Previous methods for system intrusion detection have mainly consisted of those based on pattern matching that employs prior knowledge extracted from experts’ domain knowledge. …”
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Detection and Localization of Stationary Waves on Venus Using a Self‐Supervised Anomaly Detection Model by Husnu Baris Baydargil, Jose Eduardo Oliveira Silva, Yeon Joo Lee, Meeyoung Cha

“…However, manual detection is time‐consuming, especially with the increasing volume of new images. …”
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The influence of the paradigm of forensic science on law enforcement by Nikolay V. Karepanov

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Features of lymph node metastasis depending on intratumoral heterogeneity of non-small cell lung cancer in patients with different morphological changes in the bronchial epithelium by M. V. Zavyalova, D. M. Loos, D. S. Pismenny, A. A. Durova, E. S. Andryukhova, E. O. Rodionov, S. V. Miller, S. A. Tuzikov, O. V. Pankova, L. A. Tashireva, S. V. Vtorushin, V. M. Perelmuter

“…In patients with a combination of basal cell hyperplasia and squamous metaplasia, a spiny pattern (65 %), a basaloid pattern (100 %), a polymorphic pattern (82 %) and single tumor cells (89 %) were more frequently detected in cases with metastatic lymph nodes than in cases without metastatic lymph nodes (35 %; р=0.04; 0 %; р=0.01; 18 %; р=0.01; 11 %; р=0.01, respectively). …”
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THE NEURAL NETWORK MODEL FOR MULTIPARAMETER OBJECTS RECOGNITION by Oksana Stanislavovna Mezentseva, Nikita Alekseevich Lagunov, Dmitry Viktorovich Mezentsev

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Capabilities of magnetic resonance imaging in the diagnosis of idiopathic inflammatory myopathies by A. A. Kolomeychuk

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Spatiotemporal evolution and driving forces of landscape ecological risk in the lower reaches of the Yellow River from 2000 to 2020 by Yu Lin, Jie Zhou, Jin Wang, Hao Xu, Yan Li, Feiyong Chen, Yaohui Liu

“…However, the landscape pattern and associated ecological risks in the CLRYR in the past twenty years remain unclear. …”
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An Innovative Analysis of Time Series-Based Detection Models for Improved Cancer Detection in Modern Healthcare Environments by Uma Shankari Srinivasan, Venkat Pavithra, Kaliappan Sutha, Sridevi Ramachandiran, Nallathambi Indumathi

“…Early detection of cancer is important for successful treatment and improved survival of many cancer types. …”
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Enhanced Detection of Intrusion Detection System in Cloud Networks Using Time-Aware and Deep Learning Techniques by Nima Terawi, Huthaifa I. Ashqar, Omar Darwish, Anas Alsobeh, Plamen Zahariev, Yahya Tashtoush

“…By examining the timing between packets and other statistical features, we detected patterns of malicious activity, allowing early and effective DoS threat mitigation. …”
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