Fire detection using surveillance systems by Hanan Samir Mahmoud

“…<p class="Abstract">In this research, I present a video-based system to detect Fire in real time taking advantage of already existing surveillance systems for Fire detection either inside or outside the building, Detection of fires with surveillance cameras is characterized by early detection and rapid performance. …”
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DETECTION OF HYDROPEROXIDES IN SOLUTIONS OF PHOTOOXIDIZED PSORALEN by V. V. Skarga, E. V. Nevezhin, A. А. Matrosov, V. V. Negrebetsky, M. V. Malakhov

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MICROSLEEPS AND THEIR DETECTION FROM THE BIOLOGICAL SIGNALS by Martin Holub, Martina Šrutová, Lenka Lhotská

“…Besides, the signal processing in the time domain can improve the detection accuracy of the short events like MS.…”
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Lightweight Fire Detection in Tunnel Environments by Shakhnoza Muksimova, Sabina Umirzakova, Dilnoza Abduxalikovna Babaraximova, Young Im Cho

“…Tunnel fires pose significant challenges to public safety due to their rapid development and the confined nature of tunnel environments. Traditional fire detection systems often struggle with delayed response times and high false alarm rates, particularly in complex scenarios. …”
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BERTimbau in Action: An Investigation of its Abilities in Sentiment Analysis, Aspect Extraction, Hate Speech Detection, and Irony Detection. by Julia da Rocha Junqueira, Felix da Silva, Wesley Costa, Rodrigo Carvalho, Alexandre Bender, Ulisses Correa, Larissa Freitas

“…BERT, a Deep Learning methodology proposed by Google in 2018, brought transfer learning to Natural Language Processing. In this work, we used a BERT model for the Portuguese language called BERTimbau to create models for Sentiment Analysis, Aspect Extraction, Hate Speech Detection, and Irony Detection. …”
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Rapid landslide detection from free optical satellite imagery using a robust change detection technique by Rosa Coluzzi, Angela Perrone, Caterina Samela, Vito Imbrenda, Salvatore Manfreda, Letizia Pace, Maria Lanfredi

“…Abstract In the last decades, the availability of multi-source, multi-scale, and multi-resolution remote sensing data and the consequent progress of processing techniques brought a significant positive impact for landslide detection. …”
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Convolutional neural network for oral cancer detection combined with improved tunicate swarm algorithm to detect oral cancer by Xiao Wei, Liu Chanjuan, Jiang Ke, Ye Linyun, Gao Jinxing, Wang Quanbing

“…The proposed model achieved an accuracy of 98.70% and a recall of 93.71% in detecting oral cancerous lesions from photographic images. …”
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LLE-STD: Traffic Sign Detection Method Based on Low-Light Image Enhancement and Small Target Detection by Tianqi Wang, Hongquan Qu, Chang’an Liu, Tong Zheng, Zhuoyang Lyu

“…The two stages are then coupled to form an end-to-end processing procedure. During experiments, we validate the performance of low-light image enhancement small target detection, and adaptability to images of different qualities using the public datasets GTSDB, TT-100K, and GLARE. …”
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Tackling Heterogeneous Light Detection and Ranging-Camera Alignment Challenges in Dynamic Environments: A Review for Object Detection by Yujing Wang, Abdul Hadi Abd Rahman, Fadilla ’Atyka Nor Rashid, Mohamad Khairulamirin Md Razali

“…A classification of methods for aligning heterogeneous data in 3D object detection is presented. This paper also highlights the critical challenges in aligning multimodal data, including dynamic environments, sensor fusion, scalability, and real-time processing. …”
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RESPONSE- a resilient framework to manage cyber-attacks on cyber-physical process systems by Luyang Liu, Zaman Sajid, Costas Kravaris, Faisal Khan

“…This paper presents a novel framework – Resilient Process cONtrol SystEm (RESPONSE) - to address the critical challenge of cyberattacks on cyber-physical process systems (CPS). …”
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A Framework for Early Detection of Acute Lymphoblastic Leukemia and Its Subtypes From Peripheral Blood Smear Images Using Deep Ensemble Learning Technique by Sajida Perveen, Abdullah Alourani, Muhammad Shahbaz, M. Usman Ashraf, Isma Hamid

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Protocol-Based Deep Intrusion Detection for DoS and DDoS Attacks Using UNSW-NB15 and Bot-IoT Data-Sets by Muhammad Zeeshan, Qaiser Riaz, Muhammad Ahmad Bilal, Muhammad K. Shahzad, Hajira Jabeen, Syed Ali Haider, Azizur Rahim

“…In a nutshell, IoT is the integration of devices and data such that processes are automated and centralized to a certain extent. …”
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Analysis of Multi-Frequency Signal Processing Systems by D. I. Popov

“…The criteria used in the analysis are high-speed and power characteristics as well as processing system detection characteristics. The analysis of the various options for building of multi-frequency interperiod processing systems with non-coherent accumulation makes it possible to evaluate the advantages and disadvantages of these systems. …”
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Deep Learning in Visual Computing and Signal Processing by Danfeng Xie, Lei Zhang, Li Bai

“…Nowadays, researchers have intensively investigated deep learning algorithms for solving challenging problems in many areas such as image classification, speech recognition, signal processing, and natural language processing. In this study, we not only review typical deep learning algorithms in computer vision and signal processing but also provide detailed information on how to apply deep learning to specific areas such as road crack detection, fault diagnosis, and human activity detection. …”
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Neoantigen prioritization based on antigen processing and presentation by Serina Tokita, Serina Tokita, Takayuki Kanaseki, Takayuki Kanaseki, Toshihiko Torigoe

“…In this review, we discuss current approaches to the detection of clinically relevant neoantigens, with a focus on antigen processing and presentation.…”
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Freeze-in as a complementary process to freeze-out by Rodrigo Capucha, Karim Elyaouti, Margarete Mühlleitner, Johann Plotnikov, Rui Santos

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Biorthogonal Lattice Tunable Wavelet Units and Their Implementation in Convolutional Neural Networks for Computer Vision Problems by An D. Le, Shiwei Jin, Sungbal Seo, You-Suk Bae, Truong Q. Nguyen

Subjects: “…Anomaly detection…”
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Seismic Identification and Characterization of Deep Strike-Slip Faults in the Tarim Craton Basin by Fei Tian, Wenhao Zheng, Aosai Zhao, Jingyue Liu, Yunchen Liu, Hui Zhou, Wenjing Cao

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Azimuthal Equidistant Mapping and Projection of Head CT Scans for Fracture Visualization by Nicolas Hadjittoouli, Christos Nikolaou, Costas Pitris

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Balancing act: Tackling organized retail fraud on e-commerce platforms with imbalanced learning text models by Abed Mutemi, Fernando Bacao

Subjects: “…Fraud detection…”
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