Drone-Based Digital Phenotyping to Evaluating Relative Maturity, Stand Count, and Plant Height in Dry Beans (Phaseolus vulgaris L.) by Leonardo Volpato, Evan M. Wright, Francisco E. Gomez

“…For early-stage SC assessment, Faster RCNN object detection algorithm was evaluated. Flight frequencies, image resolution, and data augmentation techniques were investigated to enhance DL model performance. …”
Get full text

DeepSARFlood: Rapid and automated SAR-based flood inundation mapping using vision transformer-based deep ensembles with uncertainty estimates by Nirdesh Kumar Sharma, Manabendra Saharia

“…Additionally, we develop a novel gain algorithm to identify diverse ensemble members and estimate uncertainty through deep ensembles. …”
Get full text

Biomimetic Computing for Efficient Spoken Language Identification by Gaurav Kumar, Saurabh Bhardwaj

“…Further, the selection of features is performed by DBO algorithm, which removes redundant features and helps to improve efficiency and accuracy. …”
Get full text

Deteksi Cepat Kadar Alkohol Pada Minuman Kopi dengan Metode Dielektrik dan Jaringan Syaraf Tiruan by Sucipto Sucipto, Yuyun Rohmawati, Dyah Ayu Widyaningrum, Danang Triagus Setiyawan

“…The back propagation algorithm was used to connect the input of bioelectric properties and output of prediction of alcohol content and pH in liqueur coffee. …”
Get full text

G4 & the balanced metric family – a novel approach to solving binary classification problems in medical device validation & verification studies by Andrew Marra

“…In addition, data from an independently published study that tested the performance of a unique ultrasound artificial intelligence algorithm in the context of breast cancer detection was also considered. …”
Get full text

The role and place of transanal endoscopic resections in rectal cancer by R. P. Nikitenko, V. M. Zaporozhan, K. O. Vorotyntseva, Ye. A. Koichev

“…The aim of the work is to improve the algorithm of intraoperative diagnosis of rectal cancer metastasis in order to optimize surgical intervention and reduce the number of intraoperative and postoperative complications. …”
Get full text

Classification and prediction of rock mass drillability for a tunnel boring machine based on operational data mining by Mingshe Sun, Song Chen, Song Chen, Huafei He, Wenzheng Wang, Kezhi Song, Xuebing Lin

Get full text

Dependence of serum procalcitonin level on microflora in the infection site in chronic osteomyelitis by Irina V. Shipitsyna, Elena V. Osipova, Alexander L. Shastov

“…Introduction The study of procalcitonin (PCT) levels simultaneously with blood cultures for sterility is an important addition to the diagnostic algorithm for chronic osteomyelitis detection. Purpose of work is to study the relationship of serum PCT with the microflora isolated from blood, wounds and fistulas in patients with chronic osteomyelitis. …”

Identification and land-Environment analysis of centralized photovoltaic stations in the arid northwest region of China by Yiyang Chen, Li Zhang, Min Yan, Yin Wu, Yuqi Dong, Wei Shao, Qinglan Zhang

“…Using the Continuous Change Detection and Classification (CCDC) algorithm along with Global Moran’s I, we observed significant development in PV installations between 2013 and 2021, with smaller stations being more spatially dispersed. …”
Get full text

Encoding arbitrary phase profiles to 2D diffraction orders with controllable polarization states by Zhao Ruizhe, Li Xin, Geng Guangzhou, Li Xiaowei, Li Junjie, Wang Yongtian, Huang Lingling

“…Sixteen independent holograms that generated by GS algorithm are successfully encoded into 4 × 4 uniformly distributed diffraction orders. …”
Get full text

Intellectual code analysis in automation grading by Denys Seliutin, Elena Yashyna

“…The syntactic analysis enabled the detection of problematic and erroneous code blocks and the identification of fraudulent attempts (manipulating the program's output instead of performing the algorithm). …”
Get full text

Cost-Efficient Fall Risk Assessment With Attention Augmented Vision Machine Learning on Sit-to-Stand Test Videos by Chunhua Pan, Boting Qu, Rui Miao, Xin Wang

“…Median-average filtering is used to reduce noise caused by video shaking and pose estimation inaccuracies, while a new Dynamic Time Warping (DTW)-based matching algorithm is designed to handle interference from irrelevant individuals appearing in the video. …”
Get full text

Implementation of Method of Minimizing the Side Lobe Level of Autocorrelation Functions of Signals With Nonlinear Frequency Modulation by O. O. Kostyria, A. A. Hryzo, I. A. Khizhnyak, A. V. Fedorov, A. A. Lukianchykov

“… An important problem that is solved during the creation of new and modernization of existing radar equipment is to ensure the maximum range of detection of air targets, which requires increasing the radiated power while maintaining the required range resolution. …”
Get full text

deep-Sep: a deep learning-based method for fast and accurate prediction of selenoprotein genes in bacteria by Yao Xiao, Yan Zhang

“…This algorithm uses a Transformer-based neural network architecture to construct an optimal model for detecting Sec-encoding UGA codons and a homology search-based strategy to remove additional false positives. …”
Get full text

Role of artificial intelligence in medical radiology and imaging by Mohd Arfat, T. K. Nisha, Sapna Sahu, Mohd Rashid

“…Adopting deep learning algorithms has significantly advanced image analysis and disease detection. …”
Get full text

Dempster Shafer-Empowered Machine Learning-Based Scheme for Reducing Fire Risks in IoT-Enabled Industrial Environments by Jayameena Desikan, Sushil Kumar Singh, A. Jayanthiladevi, Saurabh Singh, Byungun Yoon

“…The proposed method aims to enhance fire prediction and detection accuracy through algorithms developed using sensor preprocessing, machine learning, and Dempster Shafer fusion handling uncertain and varying multi-sensor data and demonstrates real-time, data-driven decision-making in critical industrial environments. …”
Get full text

MassCube improves accuracy for metabolomics data processing from raw files to phenotype classifiers by Huaxu Yu, Jun Ding, Tong Shen, Min Liu, Yuanyue Li, Oliver Fiehn

“…We present MassCube, a Python-based open-source framework for MS data processing that we systematically benchmark against other algorithms and different types of input data. From raw data, peaks are detected by constructing mass traces through signal clustering and Gaussian-filter assisted edge detection. …”
Get full text

Quality inspection of fertilizer granules using computer vision – a review by I.K. Ndukwe, D.V. Yunovidov, M.R. Bahrami, M. Mazzara, T.O. Olugbade

“…It investigates the efficacy of computer vision algorithms, particularly in image classification and object detection, for non-destructive assessment. …”
Get full text

Technology of decision-making in process management of the non-productive sphere by O. M. Kulikova

“…The article describes author's technology of acceptance of administrative decisions in process management in non-production sphere that contains two algorithms: the algorithm of detecting patterns and forecasting, algorithm development management decisions in the form of options. …”
Get full text

Breakage fusion bridge cycles drive high oncogene number with moderate intratumoural heterogeneity by Siavash Raeisi Dehkordi, Ivy Tsz-Lo Wong, Jing Ni, Jens Luebeck, Kaiyuan Zhu, Gino Prasad, Lena Krockenberger, Guanghui Xu, Biswanath Chowdhury, Utkrisht Rajkumar, Ann Caplin, Daniel Muliaditan, Aditi Gnanasekar, Ceyda Coruh, Qiushi Jin, Kristen Turner, Shu Xian Teo, Andy Wing Chun Pang, Ludmil B. Alexandrov, Christelle En Lin Chua, Frank B. Furnari, John Maciejowski, Thomas G. Paulson, Julie A. Law, Howard Y. Chang, Feng Yue, Ramanuj DasGupta, Jean Zhao, Paul S. Mischel, Vineet Bafna

“…Both breakage fusion bridge (BFB) cycles and extrachromosomal DNA (ecDNA) can lead to high oncogene copy numbers, but the impact of BFB amplifications on intratumoral heterogeneity, treatment response, and patient survival remains poorly understood due to detection challenges with DNA sequencing. We introduce an algorithm, OM2BFB, designed to detect and reconstruct BFB amplifications using optical genome mapping (OGM). …”
Get full text