Evaluating Large Language Models for Optimized Intent Translation and Contradiction Detection Using KNN in IBN by Muhammad Asif, Talha Ahmed Khan, Wang-Cheol Song

“…This research addresses these gaps by evaluating advanced Large Language Models (LLMs) such as BERT-base uncased (BERT-bu), GPT2, LLaMA3, Claude2 and small deep learning model BiLSTM with attention for translating intents and detecting contradictions. Using a curated dataset of 10,000 intent pairs, the proposed hybrid framework integrates a K-Nearest Neighbors (KNN) classifier to validate translations and recalibrate erroneous outputs. …”
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An Automated Approach for Epilepsy Detection Based on Tunable Q-Wavelet and Firefly Feature Selection Algorithm by Ahmed I. Sharaf, Mohamed Abu El-Soud, Ibrahim M. El-Henawy

“…Detection of epileptic seizures using an electroencephalogram (EEG) signals is a challenging task that requires a high level of skilled neurophysiologists. …”
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The Relationship of Addictive Attitudes, Propensity to Search for Thrills and Psychological Defenses of Personality in Drug-addicted Convicts by I.S. Ganishina, M.I. Maryin, V.V. Azhimov

“…Significant interrelations between additive attitudes, thrill seeking and psychological defenses indicate the existing risk of destructive behavior of convicts. …”
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The Detection of Pest Contaminants in Chocolate Using Visible-Near-Infrared Single-Pixel Imaging Technology by Hidemasa Taketoshi, Tetsuya Inagaki, Satoru Tsuchikawa, Te Ma

“…Currently, low-density organic foreign objects such as insects are extremely challenging to detect using conventional metal detectors and X-ray inspection systems. …”
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Hybrid Learning Model for intrusion detection system: A combination of parametric and non-parametric classifiers by C. Rajathi, P. Rukmani

“…The growing digital transformation has increased the need for effective intrusion detection systems. Traditional intrusion detection systems face challenges in accurately classifying complex patterns. …”
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Highly Selective Fluorescent Probe for the Detection of Copper (II) and Its Application in Live Cell Imaging by Zhihao Guo, Xiuji Wang, Pei Wei, Yihua Gao, Qin Li

“…The development of fluorescent methods for the detection of metal ions is of great importance due to their diverse environmental and biological roles. …”
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Deep Learning in Cybersecurity: A Hybrid BERT–LSTM Network for SQL Injection Attack Detection by Yixian Liu, Yupeng Dai

“…Traditional methods for detecting these attacks mainly rely on manually defined features, making these detection outcomes highly dependent on the precision of feature extraction. …”
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Design and Optimization of Colorimetric Paper-Based Analytical Device for Rapid Detection of Allopurinol in Herbal Medicine by Rimadani Pratiwi, Rieda Nurwulan Septyani, Rossi Febriany, Febrina Amelia Saputri, Rina Fajri Nuwarda

“…Each filter paper has different characteristic; however, there was no significant difference when all of the papers were used as PAD for allopurinol detection.…”
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Prevalence of Toxoplasma gondii in retail venison in Montreal detected using a nested PCR method by Chi Zhao, Mengyu Zhang, Jiaxuan Lan, Xiaoqi Mi, Xiaonan Lu, Qian Liu

“…The sensitivity of conventional PCR and nested PCR methods for detecting the RE-529 fragment was compared. Nested PCR exhibited a detection limit of 2 fg/μL, which is 100 times more sensitive than that of conventional PCR. …”
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Aflatoxins in Uganda: An Encyclopedic Review of the Etiology, Epidemiology, Detection, Quantification, Exposure Assessment, Reduction, and Control by Timothy Omara, Winfred Nassazi, Tom Omute, Aburu Awath, Fortunate Laker, Raymond Kalukusu, Bashir Musau, Brenda Victoria Nakabuye, Sarah Kagoya, George Otim, Eddie Adupa

“…This review was sought to synthetize the country’s major findings in relation to the mycotoxins’ etiology, epidemiology, detection, quantification, exposure assessment, control, and reduction in different matrices. …”
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Detecting adaptive changes in gene copy number distribution accompanying the human out-of-Africa expansion by Moritz Otto, Yichen Zheng, Paul Grablowitz, Thomas Wiehe

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Neural Network Based Vibration Analysis with Novelty in Data Detection for a Large Steam Turbine by K. P. Kumar, K.V.N.S. Rao, K.R. Krishna, B. Theja

“…This paper describes about normal and abnormal vibration data detection procedure for a large steam turbine (210 MW) using artificial neural networks (ANN). …”
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« L’écriture inclusive, je ne connais pas très bien… mais je déteste ! »  by Tania Sauteur, Pascal Gygax, Julia Tibblin, Lucie Escasain, Sayaka Sato

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Detectability of Liver Steatosis and Fibrosis with Transient Elastography and Controlled Attenuation Parameter in Residents of St. Petersburg by V. P. Kovyazina, K. L. Raikhelson, M. K. Prashnova, E. V. Pazenko, L. K. Palgova, E. A. Kondrashina

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Defensive Adaptations and Natural Enemies of a Case-Bearing Beetle, Exema Canadensis (Coleoptera: Chrysomelidae) by Richard B. Root, Frank J. Messina

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Deployment of next-generation sequencing approach for variant detection in myocardial infarction: A concise investigation by Desaraju Suresh Bhargav, Nadeem Siddiqui, Bhadra Murthy V, Vijaya Tartte, Vanaja V

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Recommendations for the Detection and Mitigation of Laurel Wilt Disease in Avocado and Related Tree Species in the Home Landscape by Jonathan Henry Crane, Jeff Wasielweski, Daniel Carrillo, Romina Gazis, Bruce Schaffer, Fredy Ballen, Edward Evans

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An Efficient CNN Model for COVID-19 Disease Detection Based on X-Ray Image Classification by Aijaz Ahmad Reshi, Furqan Rustam, Arif Mehmood, Abdulaziz Alhossan, Ziyad Alrabiah, Ajaz Ahmad, Hessa Alsuwailem, Gyu Sang Choi

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Detection of viral antigen and inflammatory mediators in fatal pediatric dengue: a study on lung immunopathogenesis by Leandro Junqueira Moragas, Laíza Vianna Arruda, Laíza Vianna Arruda, Lucca de Lima Siqueira Oliveira, Felipe de Andrade Vieira Alves, Felipe de Andrade Vieira Alves, Natália Gedeão Salomão, Natália Gedeão Salomão, Jemima Fuentes Ribeiro da Silva, Carlos Alberto Basílio-de-Oliveira, Rodrigo Panno Basílio-de-Oliveira, Ronaldo Mohana-Borges, Caio Gonçalves Azevedo, Gabriela Xavier de Oliveira, Jorge José de Carvalho, Fernando Colonna Rosman, Fernando Colonna Rosman, Marciano Viana Paes, Kíssila Rabelo, Kíssila Rabelo

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Evaluating CNN Architectures and Hyperparameter Tuning for Enhanced Lung Cancer Detection Using Transfer Learning by Mohd Munazzer Ansari, Shailendra Kumar, Umair Tariq, Md Belal Bin Heyat, Faijan Akhtar, Mohd Ammar Bin Hayat, Eram Sayeed, Saba Parveen, Dustin Pomary

“…Accurate lung cancer detection is vital for timely diagnosis and treatment. …”
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