Ensemble of feature augmented convolutional neural network and deep autoencoder for efficient detection of network attacks by Selvakumar B, Sivaanandh M, Muneeswaran K, Lakshmanan B

“…Abstract Network traffic must be monitored and analyzed for any abnormal activity in order to detect intrusions and to notify administrators of any attacks. …”
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Sacral buildings suitable for defense purposes and their ensembles in Vilnius in the 14th-18th centuries by Linas Girlevičius

“…A few of those buildings still have architectural fragments proving that they were meant to be defended with firearms. Thus, we can conclude that quite a number of the sacral monuments of Vilnius were ready to be used for defense purposes during battles.  …”
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Osnovni sistemi oružja za naoružana vozila – točkaše (Topovnjače), International defense review, 1989 by M.P.

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Samoodbrana oklopnih vozila od napada iz vazdušnog prostora, International Defense Review, 1990 by M.P.

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Detection and Severity Assessment of Temporomandibular Joint Osteoarthritic Changes in Patients with Temporomandibular Disorders Using CBCT by Kharman Khidhr Rahman, Shahen Ali Ahmed, Sarkawt Hamad Ali, Khoshee Salh Hamed

“…No significant association was detected between age and changes in articular eminence. …”
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Machine learning-based anomaly detection and prediction in commercial aircraft using autonomous surveillance data by Tian Xia, Lanju Zhou, Khalil Ahmad

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Adaptive genetic algorithm based deep feature selector for cancer detection in lung histopathological images by Avigyan Roy, Priyam Saha, Nandita Gautam, Friedhelm Schwenker, Ram Sarkar

“…Abstract Cancer is a global health concern because of a significant mortality rate and a wide range of affected organs. Early detection and accurate classification of cancer types are crucial for effective treatment. …”
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IAE-CDNet: A Remote Sensing Change Detection Network for Buildings With Interactive Attention-Enhanced by Zhaoyang Han, Linlin Zhang, Qingyan Meng, Chongchang Wang, Wenxu Shi, Maofan Zhao

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T2*-weighted imaging for detection of intracranial silicone oil in MRI obtained with motion correction sequences by Ryuta Yasuda, Masayuki Maeda, Kenichi Takada, Katsuhiro Inoue, Masataka Sugao, Hidenori Suzuki

“…MRI was performed with MultiVane XD due to the significant patient’s restlessness, and among all sequences including T1-weighted imaging (T1WI), T2-weighted imaging (T2WI), fluid-attenuated inversion recovery (FLAIR) and T2*WI, only T2*WI detected intracranial silicone oil. In contrast, another MRI obtained previously with conventional turbo spin-echo detected intracranial silicone oil not only in T2*WI but also in T1WI, T2WI and FLAIR. …”
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Efficient Handling of Data Imbalance in Health Insurance Fraud Detection Using Meta-Reinforcement Learning by Supriya Seshagiri, K. V. Prema

“…Data imbalance is one of the major challenges in health insurance fraud detection where the distribution of classes within the dataset is significantly skewed, leading statistical models to be biased toward the dominant class. …”
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Diagnostic Performance of Deep Learning Applications in Hepatocellular Carcinoma Detection Using Computed Tomography Imaging by Enes Şahin, Ozan Can Tatar, Mehmet Eşref Ulutaş, Sertaç Ata Güler, Turgay Şimşek, Nihat Zafer Utkan, Nuh Zafer Cantürk

“…Background/Aims: Hepatocellular carcinoma (HCC) is a prevalent cancer that significantly contributes to mortality globally, primarily due to its late diagnosis. Early detection is crucial yet challenging. This study leverages the potential of deep learning (DL) technologies, employing the You Only Look Once (YOLO) architecture, to enhance the detection of HCC in computed tomography (CT) images, aiming to improve early diagnosis and thereby patient outcomes. …”
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A conceptual approach to material detection based on damping vibration-force signals via robot by Ahmad Saleh Asheghabadi, Mohammad Keymanesh, Saeed Bahrami Moqadam, Saeed Bahrami Moqadam, Saeed Bahrami Moqadam, Jing Xu

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The Discernment of the Deceits of the Devil in angelum lucis according to St. Ignatius of Loyola and St. John of the Cross by Juan Manuel Rossi

“…In this field, because of its particular difficulty, special attention should be paid to the deceptions of the devil “sub angelo lucis”, that is, those who are under the appearance of good or virtue. …”
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Oklopno vozilo - topovljača na točkovima 'COMMANDO V-600', International defense review, 1989 by M.P.

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Comparison of saliva and blood derived cell free RNAs for detecting oral squamous cell carcinoma by Yuan Hu, Manbin Xu, Muyuan Liu, Hanwei Peng

“…In our study to enhance OSCC detection, we analyzed cell-free RNA (cfRNA) transcriptomes (mRNA, lncRNA) from blood (plasma) and saliva samples of individuals in three groups: OSCC group, oral benign tumor group, and a normal control group. …”
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Capsule neural network and adapted golden search optimizer based forest fire and smoke detection by Luling Liu, Li Chen, Mehdi Asadi

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The emerging role of blood-based biomarkers in early detection of colorectal cancer: A systematic review by Faris Shweikeh, Yuhao Zeng, Abdur Rahman Jabir, Erica Whittenberger, Saurav P. Kadatane, Yuting Huang, Mohamad Mouchli, Dani Ran Castillo

“…Background: Colorectal cancer (CRC), the third most commonly diagnosed and second most lethal cancer worldwide, necessitates efficient early detection strategies to improve patient outcomes. This review evaluates the promise of novel blood-based biomarkers for early detection of CRC. …”
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Detecting second mesiobuccal canal in maxillary first molars in Erbil citizens: CBCT Retrospective study. by Mustafa T. Mohamadamin, Karam A. Thiab, Ribwar F. Khalid, Khidir M. Khidir

“…These results indicate that CBCT is an effective, high-precision diagnostic tool for detecting canals. …”
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Mape: defending against transferable adversarial attacks using multi-source adversarial perturbations elimination by Xinlei Liu, Jichao Xie, Tao Hu, Peng Yi, Yuxiang Hu, Shumin Huo, Zhen Zhang

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Swarm learning with weak supervision enables automatic breast cancer detection in magnetic resonance imaging by Oliver Lester Saldanha, Jiefu Zhu, Gustav Müller-Franzes, Zunamys I. Carrero, Nicholas R. Payne, Lorena Escudero Sánchez, Paul Christophe Varoutas, Sreenath Kyathanahally, Narmin Ghaffari Laleh, Kevin Pfeiffer, Marta Ligero, Jakob Behner, Kamarul A. Abdullah, Georgios Apostolakos, Chrysafoula Kolofousi, Antri Kleanthous, Michail Kalogeropoulos, Cristina Rossi, Sylwia Nowakowska, Alexandra Athanasiou, Raquel Perez-Lopez, Ritse Mann, Wouter Veldhuis, Julia Camps, Volkmar Schulz, Markus Wenzel, Sergey Morozov, Alexander Ciritsis, Christiane Kuhl, Fiona J. Gilbert, Daniel Truhn, Jakob Nikolas Kather

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