System of Laser Monitoring of Water Pollution with Application of Relative Description of Signal Shape by V. A. Alekseev, S. I. Yuran, V. P. Usoltsev, D. N. Shulmin

“…The graphs of the lattice functions obtained from the IR spectra of emergency discharges of these substances are given; algorithms for constructing a lattice function and comparison of lattice functions. …”
Get full text

Bridging the Gap: A Review of Machine Learning in Water Quality Control by Herlina Abdul Rahim, Nur Athirah Syafiqah Noramli, Indrabayu

“…However, persistent challenges include data scarcity in developing regions (only 12% of Sub-Saharan African monitoring stations provide real-time data), algorithmic bias (65% sensitivity loss in cross-regional models), and regulatory skepticism toward "black-box" systems. …”
Get full text

Directed carbapenemase testing is no longer just for Enterobacterales: cost, labor, and workflow assessment of expanding carbapenemase testing to carbapenem-resistant P. aeruginosa by Christian M. Gill, Poonam Rajkotia, Amity L. Roberts, Fred C. Tenover, David P. Nicolau

“…Molecular carbapenem-resistance testing, such as for the presence of carbapenemases genes, is commonly implemented for the detection of carbapenemase-producing Enterobacterales. …”
Get full text

Multi-Trait Phenotypic Analysis and Biomass Estimation of Lettuce Cultivars Based on SFM-MVS by Tiezhu Li, Yixue Zhang, Lian Hu, Yiqiu Zhao, Zongyao Cai, Tingting Yu, Xiaodong Zhang

“…To address the problems of traditional methods that rely on destructive sampling, the poor adaptability of fixed equipment, and the susceptibility of single-view angle measurements to occlusions, a non-destructive and portable device for three-dimensional phenotyping and biomass detection in lettuce was developed. Based on the Structure-from-Motion Multi-View Stereo (SFM-MVS) algorithms, a high-precision three-dimensional point cloud model was reconstructed from multi-view RGB image sequences, and 12 phenotypic parameters, such as plant height, crown width, were accurately extracted. …”
Get full text

Enhancing Crop Health: Advanced Machine Learning Techniques for Prediction Disease in Palm Oil Tree by Nandy Manish, Kumar Yalakala Dinesh

“…Palm oil trees are one of the key crops in the world's agricultural economy yet they are vulnerable to a number of diseases which can reduce yields substantially. Currently disease detection and management is usually labor intensive and slow, thus delays in detection and response and increased losses in yields. …”
Get full text

Development of PYMUS+ Code for Quantitative Evaluation of Nuclear Material Accounting (NMA) System by Byung Hee Won, Hee-Sung Shin, Se Hwan Park, Seong-Kyu Ahn

“…For these purposes, in the present study, the PYroprocessing Material flow and MUF Uncertainty Simulation+ (PYMUS+) code, which uses evaluation algorithms to calculate many safeguards factors such as MUF uncertainty, detection probability, and others, was developed. …”
Get full text

Remote Sensing Techniques for Assessing Snow Avalanche Formation Factors and Building Hazard Monitoring Systems by Natalya Denissova, Serik Nurakynov, Olga Petrova, Daniker Chepashev, Gulzhan Daumova, Alena Yelisseyeva

“…Key data sources included satellite platforms such as Sentinel-1, Sentinel-2, TerraSAR-X, and Landsat-8, combined with machine learning, data fusion, and change detection algorithms to process and interpret the data. …”
Get full text

Progressive noise photons removal from ICESAT-2 data based on the characteristics of different types of noise by Zhenyang Hui, Li Zhang, Shuanggen Jin, Wenbo Chen, Penggen Cheng, Yao Yevenyo Ziggah

“…Specifically, isolated noise photons are automatically identified using a multi-thresholding strategy based on the maximum between-clustering variance algorithm without requiring parameter tuning. Low-density clustered noise photons are removed using the ellipse-based photon counting method, where the Douglas-Peucker algorithm is utilized to align the ellipse’s major axis with the locally calculated terrain slope. …”
Get full text

基于透视不变二值特征描述子的图像匹配算法 by Li-chuan GENG, Song-zhi SU, Shao-zi LI

“…Current local feature based image matching algorithms are usually less robust to image perspective transformation.Aiming to solve this problem，a new perspective invariant binary code (PIBC) based image matching algorithm is proposed.Firstly，FAST corners are detected on the pyramid images，those corners with non-maximum Harris corner response value and the edge points are further eliminated.And then，by simulating the perspective transformations of images taken from different viewpoints，a single FAST corner is described with binary descriptors under different viewpoint transformations，which makes the descriptor could describe the identical feature point on different perspective transform images.Experimental results show its robustness to image perspective transformation，while its complexity is similar with SURF.…”
Get full text

A Low-Complexity Approach for Improving the Accuracy of Sensor Networks by Angelo Coluccia

“…Remarkably, the resulting cooperative algorithm does not require prior knowledge of the (hyper)parameters and is able to provide a “denoised” version of the monitored field without losing accuracy in detecting extreme (less frequent) values, which can be very important for a number of applications. …”
Get full text

Searching for eclipsing binaries in the GSFC-Eleanor-Lite database. by Andy Teng

“…I also provide a catalog of the 66 new eclipsing binaries, including the properties measured by the two algorithms. In comparison with the majority of other papers, this pipeline is faster, consisting of per-light-curve runtimes of approximately one second, while still delivering accurate detections. …”
Get full text

Obfuscation of combination circuits of digital devices from unauthorized access by L. A. Zolotorevich

“…Along with the problems that arise and are solved in the mode of favorable design, in the last decade there was a problem of protection and additional control of projects in order to detect unauthorized third-party interference in the project with different fundamental goals. …”
Get full text

Optimization of [C]Raclopride Positron Emission Tomographic Rat Studies: Comparison of Methods for Image Quantification by Èlia Torrent, Magí Farré, Ibane Abasolo, Olga Millan, Jordi LLop, Juan Domingo Gispert, Alba Ruiz, Deborah Pareto

“…In addition, filtered backprojection is recommended as a reconstruction algorithm, although iterative methods may be more sensitive to detect within-group differences.…”
Get full text

Location of the Voltage Sag Source Based on Negative Sequence Power Flow by WEN Lei

“…Voltage sag source location is the important basis for detecting weak part and solving the responsibility’s problems between customers and suppliers. …”
Get full text

Diagnosis and treatment of liver injuries in blunt abdominal injury using minimally invasive technologies by Ya. V. Gavrishchuk, V. A. Manukovsky, A. N. Tulupov, A. E. Demko, E. A. Kolchanov, V. E. Savello, M. N. Pravosud

“…By using the proposed algorithm in patients with stable hemodynamics, laparocentesis gave way to less traumatic and more accurate methods of diagnosing intra-abdominal bleedings. …”
Get full text

Genotypic clustering of 51 soybean cultivars and wild forms using SSR-markers by Alena A. Ivaniy, Andrey A. Penzin, Olga N. Bondarenko, Anastasia A. Blinova, Alina E. Gretchenko, Lyubov E. Ivachenko, Pavel D. Timkin

“…Results demonstrating the length of each locus were analyzed by the UPGMA algorithm to record genetic relatedness or remoteness. …”
Get full text

Enhanced Domain Tuned Yolo-Driven Intelligent Fault Identification Method: Application in Selection and Construction of Gas Storage by BAI Xuefeng, ZHANG Fengyuan, ZOU Huanyu, HUANG Famu, LI Junlun, ZHAO Shijie, ZHANG Li, TANG Jizhou

“…Firstly, to address the sparse onsite data, an image self-enhancement algorithm based on reinforcement learning is employed. …”
Get full text

Application of artificial intelligence in insect pest identification - A review by Sourav Chakrabarty, Chandan Kumar Deb, Sudeep Marwaha, Md. Ashraful Haque, Deeba Kamil, Raju Bheemanahalli, Pathour Rajendra Shashank

“…AI-based detection methods use machine learning, deep learning algorithms, and computer vision techniques to automate and improve the identification of insects. …”
Get full text

Validation of Replicable Pipeline 3D Surface Reconstruction for Patient-Specific Abdominal Aortic Lumen Diagnostics by Edoardo Ugolini, Giorgio La Civita, Moad Al Aidroos, Samuele Salti, Giuseppe Lisanti, Emanuele Ghedini, Gianluca Faggioli, Mauro Gargiulo, Giovanni Rossi

“…<b>Conclusions:</b> The proposed algorithm can correctly reconstruct pathological vessels. …”
Get full text

Modelagem hidrológica em microbacia hidrográfica parte I: aprimoramento do modelo HidroBacia Hydrologic modeling in a small watershed part I: improvement of the HidroBacia model by Sidney S. Zanetti, José M. A. da Silva, Elias F. Sousa, Vicente de P. S. de Oliveira, Frederico T. de Almeida

“…This problem was corrected by the substitution of the linear algorithm used (Bras, 1990), by the non-linear algorithm proposed by Li et al. (1975). …”
Get full text