Article
Spectroscopy
Anatoly A. Saveliev, Ekaterina V. Galeeva, Dmitry A. Semanov, Roman R. Galeev, Ilshat R. Aryslanov, Tatyana S. Falaleeva, Rustam R. Davletshin
Summary: A novel adaptive noise model based on iteratively reweighted penalized least squares (ANM-IRPLS) method is proposed for Raman spectrum baseline correction, offering better results in background removal compared to existing methods.
JOURNAL OF RAMAN SPECTROSCOPY
(2022)
Article
Optics
Xiaoyu Jiang, Fusheng Li, Qingya Wang, Jie Luo, Jun Hao, Muqiang Xu
Summary: The proposed IairPLS method effectively addresses baseline underestimation caused by adaptive iterative weighted penalized least squares, improving baseline estimation accuracy and enhancing the quantitative analysis ability of X-ray fluorescence spectrum.
Article
Computer Science, Artificial Intelligence
Hongpeng Pan, Guofeng Zhu, Chengbin Peng, Qing Xiao
Summary: This paper proposes a framework that utilizes a Weber contrast descriptor, a texture feature extractor, and a light detection unit to extract features of foreground objects and improves detection through a local pattern enhancement method. By designing features specific to evening light conditions, the method successfully addresses the issue of poor foreground object detection in night videos using existing background subtraction methods.
PEERJ COMPUTER SCIENCE
(2021)
Article
Spectroscopy
Chenlei Ru, Wu Wen, Yi Zhong
Summary: This study utilized Raman spectroscopy combined with convolutional neural network (CNN) for real-time monitoring of the aqueous extraction process of medicinal plants. The results showed that CNN-based methods were superior in accurately predicting analyte content and had good complementarity with preprocessing methods.
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
(2023)
Article
Computer Science, Information Systems
Subrata Kumar Mohanty, Suvendu Rup
Summary: The improved foreground detection scheme proposed in this paper effectively addresses challenges such as illumination variation, dynamic background, low contrast, and noisy sequences.
MULTIMEDIA TOOLS AND APPLICATIONS
(2021)
Article
Computer Science, Artificial Intelligence
Vince Jebryl Montero, Woo-Young Jung, Yong-Jin Jeong
Summary: The paper introduces a method for moving object detection using fast background subtraction suitable for real-time performance. By intermittently updating the background using adaptive blocks and employing a fast background subtraction process, the design achieves fast throughput and well-rounded performance. An adaptation bias is used to compensate for lagging effects and improve precision and recall metrics.
JOURNAL OF REAL-TIME IMAGE PROCESSING
(2021)
Article
Computer Science, Artificial Intelligence
R. S. Amshavalli, J. Kalaivani
Summary: This paper proposes a fog computing-based smart video surveillance system that provides less latency, network bandwidth, and response time by localizing data to the edges of the network. The proposed system incorporates adaptive key frame extraction and adaptive contour-based background subtraction, to increase the quality of detecting abnormal motions from surveillance video streams.
JOURNAL OF REAL-TIME IMAGE PROCESSING
(2023)
Article
Oncology
Jorge D. Vega, Daiki Hara, Ryder M. Schmidt, Marwan B. Abuhaija, Wensi Tao, Nesrin Dogan, Alan Pollack, John C. Ford, Junwei Shi
Summary: Using active tumor-targeting nanoparticles can enhance fluorescence imaging for sensitive tumor detection and precise radiation guidance in translational radiotherapy study. However, non-specific nanoparticle uptake can lead to high levels of background fluorescence and complicate early detection of small cancers. This study proposed an adaptive masked-based background subtraction strategy to selectively refine the background fluorescence subtraction, and demonstrated its reliability and robustness in both passive and active targeting experiments, leading to improved accuracy and sensitivity in fluorescence molecular imaging for tumor detection.
FRONTIERS IN ONCOLOGY
(2023)
Article
Computer Science, Artificial Intelligence
Mahdi Abolfazli Esfahani, Ali Jamadi, Messiah Abolfazli Esfahani
Summary: Nowadays, deep learning has significantly impacted computer vision applications by extracting essential features to solve specific problems. However, one drawback is the need for annotated training data. To address this, this paper proposes an image representation technique based on object detection and inpainting, which combines the generalization ability of traditional background subtraction techniques with the rich feature representation of deep learning. Experimental results show a 20% improvement in accuracy when using a conventional monocular camera.
EXPERT SYSTEMS WITH APPLICATIONS
(2022)
Article
Engineering, Electrical & Electronic
Pei Xiang, Jiangluqi Song, Hanlin Qin, Wei Tan, Huan Li, Huixin Zhou
Summary: The paper introduces a strategy for hyperspectral anomaly detection using visual attention model and adaptive weight for background subtraction, which shows promising results in improving detection performance.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2021)
Article
Computer Science, Hardware & Architecture
Supriya Agrawal, Prachi Natu
Summary: In this paper, a new background subtraction method called ABGS Segmenter is proposed to detect moving objects with high recognition rate and less computation time. The method solves the challenges of selecting the appropriate threshold value and removing shadow pixels by using a two-level adaptive thresholding approach and fusing color space models.
JOURNAL OF SUPERCOMPUTING
(2023)
Article
Optics
Fei Huang, Meng Xue, Zhaoqing Yang, Hanming Guo
Summary: This paper introduces a method to handle small differences between Raman peaks of similar materials using adaptive minimum root mean square error estimation, enhancing the contribution of small differences in the residual spectrum, making the RMSE more sensitive.
Article
Chemistry, Multidisciplinary
Shahaji P. Kharat, Swati K. Gaikwad, Paul Gaurav Nalam, Rahul C. Kambale, Ajit R. James, Yesh D. Kolekar, C. Ramana
Summary: Barium titanate and its associated ternary metal oxide systems are versatile materials with immense potential for various technological applications in electronics and optoelectronics.
CRYSTAL GROWTH & DESIGN
(2022)
Article
Astronomy & Astrophysics
Martin de los Rios
Summary: This work presents the results of studying the cosmic microwave background temperature-temperature power spectrum using auto-encoders to estimate cosmological parameters and compute power spectra. The encoder estimates the parameters with a precision of 0.004% to 0.2%, and the decoder computes the power spectra with a mean error of 0.0018%. The study led to the development of the COSMIC-KITE PYTHON software, which reduces computation time significantly.
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
(2022)
Article
Computer Science, Information Systems
Rongrong Liu, Yassine Ruichek, Mohammed El Bagdouri
Summary: This paper investigates the potential benefits of using multispectral images for background subtraction task using convolutional neural networks, with impressive results outperforming RGB images and other approaches in the experiments. A new convolutional encoder is designed to explore the information of multispectral images, demonstrating the advantages of using multispectral data with deep learning techniques.
JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION
(2021)
Article
Spectroscopy
Zh. E. Ozbekova, A. A. Abdyldaev, A. A. Kulmyrzaev
Summary: This study compared two drying methods for cow and yak muscles, finding that freeze drying caused less discoloration. Additionally, analysis of fluorescence spectra allowed for accurate prediction of chemical composition and color characteristics of the muscles.
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
(2024)
Article
Spectroscopy
Leo Mandic, Ivan Ljubic, Iva Dzeba
Summary: In this study, a combined experimental and computational approach was used to investigate the photoexcitation and photodegradation mechanisms of Doxazosin (DOX). The results provide valuable insights into the primary events following the photoexcitation of DOX and its potential applications.
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
(2024)
Article
Spectroscopy
Xiufeng Wang, Yao Jin, Wenhui Ai, Siqi Wang, Zhiqing Zhang, Ting Zhou, Fang Wang, Guodong Zhang
Summary: This study successfully synthesized near infrared fluorescence Ag2S quantum dots (QDs) and developed a dual-mode sensor for sulfide anion using the excellent oxidase-like characteristics of manganese dioxide (MnO2) nanosheets. The sensor showed a wider detection range, higher sensitivity, and shorter reaction time, making it suitable for highly selective detection of sulfide in different concentration ranges.
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
(2024)
Article
Spectroscopy
Yafei Li, Yanming Ma, Chuantao Zheng, Di Yu, Lien Hu, Shuo Yang, Fang Song, Yadan Li, Shuanghai Liu, Zhanrui Zhang, Yu Zhang, Yiding Wang, Frank K. Tittel
Summary: To effectively monitor gas explosion and coal spontaneous combustion in coal mine, an intrinsically safe and explosion-proof dual-gas sensor system was developed for methane (CH4) and carbon monoxide (CO) measurement. The system achieved different measurement ranges using laser scanning and gas cells, and improved stability and accuracy through gas pre-treatment and temperature compensation algorithm.
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
(2024)
Article
Spectroscopy
Pei-Rong Chen, Li-Kang Chu
Summary: In this study, the hydrates of glyoxal were investigated using infrared absorption spectrometry. The results showed that at low concentrations, glyoxal mainly exists as monomeric dihydrate. These findings provide suitable detection windows for further research on the roles of glyoxal and its hydrates in atmospheric and aerosol chemistry, as well as the relevant reaction kinetics.
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
(2024)
Article
Spectroscopy
Nichole O'Neill, Thamires A. Lima, Fabio Furlan Ferreira, Nicolas J. Alvarez, Reinhard Schweitzer-Stenner
Summary: This study determines the main fibril axis of GHG gel-forming fibrils using various techniques and compares the results with simulated data. The analysis suggests that the hydrophobic xz-surfaces of GHG fibrils could be a good target for the adsorption of hydrophobic drugs.
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
(2024)
Article
Spectroscopy
Mengyuan Liu, Hanchuang Zhu, Yikun Fang, Caiyun Liu, Xinke Li, Xiaohui Zhang, Lixue Ma, Kun Wang, Miaohui Yu, Wenlong Sheng, Baocun Zhu
Summary: ABHS is an efficient fluorescent probe that can accurately and sensitively detect Al3+ with strong resistance to interference. It also demonstrates excellent detection and imaging capabilities in complex real samples.
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
(2024)
Article
Spectroscopy
Ahmed S. El-Shafie, Evana Rahman, Yasser Gadelhak, Rehab Mahmoud, Marwa El-Azary
Summary: The recycling of waste mandarin peels into biochar (MRBC) has been used as a high performance and cost-effective adsorbent for treating polluted wastewater effluents. Batch adsorption studies were conducted to analyze the adsorption competency of MRBC on two dyes, methylene blue (MB) and basic fuchsin (BF), either in individual solutions or binary combinations. The results showed that MRBC was capable of effectively removing a high percentage of both dyes. However, the adsorption capacity decreased when the dyes were combined. The cost estimation of MRBC production and wastewater treatment indicated that both were relatively low.
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
(2024)
Article
Spectroscopy
Anindita Bhatta, Jahnabi Upadhyaya, Dipak Chamlagai, Lincoln Dkhar, Pynskhemborlang T. Phanrang, Mohan Rao Kollipara, Sivaprasad Mitra
Summary: Derivatives of thiazole-pyrazole fused benzo-coumarin compounds were synthesized and their photophysical properties were investigated. The synthesized coumarin compounds showed potential as therapeutic agents for Alzheimer's disease, inhibiting acetylcholinesterase activity. The presence of human serum albumin was found to affect the inhibition activity.
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
(2024)
Article
Spectroscopy
Yongwei Duan, Quancheng Liu, Yiju Zhu, Qi Zhang, Xiaohui Duan, Hu Deng, Liping Shang
Summary: In this study, the phase transition of CL-20 was observed using terahertz spectroscopy, and quantum chemical calculations were employed to analyze the vibrations. The results indicated changes in the vibrations of CL-20 before and after phase transition.
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
(2024)
Article
Spectroscopy
Yuefeng Gao, Sai Xu, Baojiu Chen
Summary: This study synthesized Cs2NaInCl6 nanocrystals co-doped with Sb3+ and Tb3+ ions as probes for copper ions detection in lubricating oil. The introduction of Sb3+ effectively reduced the band gap of the host material and enabled energy transfer pathway for Tb3+ emission. The doped Tb3+ ions resulted in the suppression of emission due to electron transfer. The Cs2NaInCl6: 2.5 %Sb3+, 40 %Tb3+ NCs exhibited superior sensitivity and selectivity for copper ions detection.
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
(2024)
Article
Spectroscopy
Yu Liu, Yue Zhang, Changyao Liu, Ce Wang, Baocai Xu, Li Zhao
Summary: A highly sensitive detection platform for heparin was developed using a cationic fluorescent dye (cresyl violet acetate) as a fluorescence probe. The platform demonstrated high selectivity towards heparin and achieved detection in both HEPES solution and serum.
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
(2024)
Article
Spectroscopy
Lopamudra Roy, Nivedita Pan, Susmita Mondal, Ria Ghosh, Md. Nur Hasan, Neha Bhattacharyya, Soumendra Singh, Kallol Bhattacharyya, Arpita Chattopadhyay, Samir Kumar Pal
Summary: The study focuses on the interaction between reactive oxygen species (ROS) and a spectroscopic probe called Rose Bengal (RB), encapsulated in nanoscopic sodium dodecyl sulphate (SDS) micelles and entrapped in microscopic nylon 66 solid matrix. The research demonstrates efficient interaction between ROS and RB-SDS, and investigates the mechanism of hydroxyl radicals generation. Based on these findings, a prototype device utilizing RB embedded in a nylon thin film for quantification of ROS in extracellular fluids and food materials was developed.
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
(2024)
Article
Spectroscopy
Xiaosong Sun, Qihao Cui, Wenyue Dong, Qian Duan, Teng Fei
Summary: Conjugated porous polymers (CPPs) are promising sensing materials and their application in aqueous media is limited. In this study, we synthesized CPPs with porous structure and prepared nanoparticles, enabling efficient photoluminescence sensing of nitroaromatic explosives in aqueous phase.
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
(2024)
Article
Spectroscopy
Maria Cristina Caggiani, Germana Barone, Paolo Mazzoleni
Summary: Raman spectroscopy is commonly used for studying glassy materials in cultural heritage, but it is more difficult to interpret the spectra and apply the technique with portable instruments. In contrast, diffuse reflectance infrared Fourier transform spectroscopy (DRIFTS) can be used in archaeometric investigations as it is portable and non-invasive. However, there is limited application of this technique to historical glasses. This exploratory work demonstrates the potential of DRIFTS, in combination with portable X-ray Fluorescence (pXRF) and EDS microanalyses, for studying the composition and alteration of glass samples in cultural heritage.
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
(2024)