A Comparative Analysis of Support Vector Machine and K-Nearest Neighbors Models for Network Attack Traffic Detection by Han Zhuoxi

“…Moreover, the research highlights future directions to strengthen the resilience and precision of network intrusion detection systems, ensuring the development of more effective defenses against the ever-evolving landscape of cybersecurity risks.…”
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Archaeological Site Detection: Latest Results from a Deep Learning Based Europe Wide Hillfort Search by Jürgen Landauer, Simon Maddison, Giacomo Fontana, Axel G. Posluschny

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Effectiveness of the California Mastitis Test (CMT), Reductase Test, and Alcohol Test for Dairy Cows Subclinical Mastitis Detection by Eriza Rosalina Rochmah, Dadik Raharjo, Sri Hidanah, Mustofa Helmi Effendi, Adiana Mutamsari Witaningrum, Sunaryo Hadi Warsito

“…Effectiveness of the california mastitis test (CMT), reductase test and alcohol test to detect subclinical mastitis in dairy cattle. The number of samples taken was 60 samples of fresh dairy milk from 15 cattles in Medowo Village as much as 50 ml for each sample. …”
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Advanced in Islanding Detection and Fault Classification for Grid-Connected Distributed Generation using Deep Learning Neural Network by Rusvaira Qatrunnada, Novizon Novizon, Mardini Hasanah, Tuti Angraini, Anton Anton

“…Earlier studies have shown several approaches to islanding detection. The use of an Artificial Neural Network (ANN) based on the learning vector quantization (LVQ) technique is proposed in this paper for fault classification and islanding detection in grid-connected distributed generators. …”
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Enhancing zero-shot stance detection via multi-task fine-tuning with debate data and knowledge augmentation by Qinlong Fan, Jicang Lu, Yepeng Sun, Qiankun Pi, Shouxin Shang

Subjects: “…Zero-shot stance detection…”
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Modified AlexNet Convolution Neural Network For Covid-19 Detection Using Chest X-ray Images by Shadman Q. Salih, Hawre Kh. Abdulla, Zanear Sh. Ahmed, Nigar M. Shafiq Surameery, Rasper Dh. Rashid

“…In the last decade, medical imaging techniques show its efficiency in helping radiologists to detect and diagnose the diseases. Deep learning and transfer learning algorithms are good techniques to detect disease from different image source types such as X-Ray and CT scan images. …”
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High-Accuracy Fault Location Detection in Double-Circuit Transmission Lines Utilizing Extreme Learning Machine Algorithm by Muhammad Hammad Saeed

“…The obtained results are compared with the results of two other intelligent fault detection approaches, such as ANN and SVM and better accuracy and reliability are shown in ELM. …”
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Rapid detection of Vibrio alginolyticus in seafood using the flgL gene and real-time polymerase chain reaction by Muktiningsih Nurjayadi, Gladys Indira Putri, Jefferson Lynford Declan, Ismaya Krisdawati, Dandy Akbar Juliansyah, Maharanianska Azzahra, Irvan Maulana, Irma Ratna Kartika, Fera Kurniadewi, Tiara Fahriza, Adinda Myra Amalia Putri, Ayu Berkahingrum, Atikah Nur Rahmawati, Rosita Gio Anggraeni, Dalia Sukmawati, Sri Rahayu, Vira Saamia, I Made Wiranatha, Bassam Abomoelak, Hesham Ali El-Enshasy

“…Detection in seafood samples was also successful. …”
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Advanced retinal disease detection from OCT images using a hybrid squeeze and excitation enhanced model. by Gülcan Gencer, Kerem Gencer

“…OCT helps ophthalmologists diagnose patients more accurately by allowing for early detection. This paper offers a hybrid SE (Squeeze-and-Excitation)-Enhanced Hybrid Model for detecting retinal disorders from OCT images, including DME, Drusen, and CNV, using artificial intelligence and deep learning.…”
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Molecular detection of <i>Streptococcus agalactiae</i> in pregnant women and percentage of vertical transmission to their neonates in Babylon province by Ali D. Marhash, Zainab N. Nabat, Nawras A. Abbas

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Comparative performance of tuberculin and defined-antigen cocktails for detecting bovine tuberculosis in BCG-vaccinated cattle in natural settings by Abebe Fromsa, Andrew J. K. Conlan, Sreenidhi Srinivasan, Balako Gumi, Wegene Bedada, Miserach Zeleke, Dawit Worku, Matios Lakew, Biniam Tadesse, Berecha Bayissa, Asegedech Sirak, Musse Girma Abdela, Getnet Abie Mekonnen, Tesfaye Chibssa, Maroudam Veerasami, Gareth J. Jones, H. Martin Vordermeier, Nick Juleff, James L. N. Wood, Gobena Ameni, Vivek Kapur

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Genome-wide identification and characterization of transcription factors involved in defense responses against Sclerotinia sclerotiorum in Brassica juncea by Xu Yang, Shaomin Guo, Hairun Jin, Jinze Zhang, Lijing Xiao, Qingjing Ouyang, Xu Long, Zhongbin Yan, Entang Tian

“…This study serves as a valuable case study for the characterization of TFs associated with defense mechanisms against S. sclerotiorum in B. juncea. …”
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High-sensitivity colorimetric sensor based on oxidase-like Mn3O4 nanozyme for Cys detection by Junting Liang, Dihan Duan, Lubing Sun, Jinming Li, Mengke Wang, Ziyi Chang, Rick F. Thorne, Chuanliang Chen, Demin Duan

“…By leveraging the outstanding catalytic activities of Mn3O4 nanozymes and optimizing the TMB concentration, we developed a novel and sensitive colorimetric sensor for Cys detection. Experimental results indicated a detection range for Cys between 0.5 and 45 μM, with a lower limit of detection (LOD) of 0.02636 μM. …”
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Laboratory Rotational Spectroscopy Leads to the First Interstellar Detection of Singly Deuterated Methyl Mercaptan (CH2DSH) by Hayley A. Bunn, Silvia Spezzano, Laurent H. Coudert, Jean-Claude Guillemin, Yuxin Lin, Christian P. Endres, Brant Billinghurst, Olivier Pirali, Jes Jørgensen, Valerio Lattanzi, Paola Caselli

“…A spectroscopic catalog built from this analysis for a temperature of 125 K has led to the first interstellar detection of CH _2 DSH toward the solar-like protostar IRAS 16293-2422 B. …”
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Fortifying defenses: Tactical safety protocols for COVID-19 sub-variant JN.1 in healthcare and laboratory settings by Shazima Sheereen, Mohnish Z. Manva, Shamama Sheereen

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Eucalyptus grandis WRKY genes provide insight into the role of arbuscular mycorrhizal symbiosis in defense against Ralstonia solanacearum by Jianlang Zhang, Xinzhu Yang, Chunyu Huo, Xinyi Fan, Qiutong Liu, Zhihong Liu, Yu Su, Zujing Chen, Zujing Chen

“…Several genes (including EgWRKY116, EgWRKY62, and EgWRKY107) were significantly induced by Ri; these genes might enhance the defense of E. grandis against Rs.DiscussionTherefore, we identified E. grandis WRKY genes that are regulated by AMF colonization, some of which might improve the defense of E. grandis against R. solanacearum. …”
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Design of an Integrated Model for Video Summarization Using Multimodal Fusion and YOLO for Crime Scene Analysis by Sai Babu Veesam, Aravapalli Rama Satish

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L’arte e l’uomo eterno (traduzione di Luca Bernardini) by Zygmunt Wasilewski

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Deep eutectic solvent-based magnetic molecular nanomaterials coupled with fluorescent carbon dots as a new strategy to highly enrich and sensitively detect doxycycline in food matrices by Yanqiong Luo, Han Zhang, Jun Liu, Aleeza Jamil, Yujiao Hou, Qian Li, Min Zhao, Chunjie Zhao, Wenjing Li, Bo Hong

“…The highly selective enrichment and sensitive detection of antibiotics in food are crucial for human health, environmental monitoring, and management. …”
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