Integration of YOLOv9 Segmentation and Monocular Depth Estimation in Thermal Imaging for Prediction of Estrus in Sows Based on Pixel Intensity Analysis by Iyad Almadani, Aaron L. Robinson, Mohammed Abuhussein

“…Furthermore, without addressing distance variations, the model’s generalizability diminishes, increasing the likelihood of false positives and negatives and ultimately reducing the effectiveness of estrus detection. …”
Get full text

Simplified Novel Approach for Accurate Employee Churn Categorization using MCDM, De-Pareto Principle Approach, and Machine Learning by Faisal Bin Al Abid, Aryati Binti Bakri, Md. Golam Rabiul Alam, Jia Uddin, Shefayatuj Johara Chowdhury

“…Turnover or churn of employees within an organization needs to be solved since it has negative impact on the organization. Manual detection of employee churn is quite difficult, so machine learning (ML) algorithms have been frequently used for employee churn detection as well as employee categorization according to turnover. …”
Get full text

Identification Method for Incipient Intermittent Arc Ground Fault of High-Voltage Cables by Zhengxiong ZHOU, Xiangyang XIA, Peng ZHU, Mingde LI, Hai HUANG, Shanqiu CHEN, Junshan XIA, Ruiqi WANG

“…Firstly, the non-parametric bilateral CUSUM algorithm is used to monitor the cumulative sum of the positive and negative offsets of the three-phase current to determine the abnormal phase. …”
Get full text

Primary Mediastinal (Thymic) Large B-Cell Lymphoma: Experience in Treating 131 Patients at a National Medical Research Center in Russia by IZ Zavodnova, MYu Kichigina, EV Paramonova, YuE Ryabukhina, OA Kolomeitsev, OP Trofimova, NV Volkova, YuI Pryamikova, NV Kokosadze, GS Tumyan

“…With median follow-up of 37 months relapses and progression of the disease were detected in 17 (13 %) out of 131 patients within a period of 13 months after initiation of antitumor treatment. …”
Get full text

Enhanced Fault Localization in Multi-Terminal HVDC Systems Using Improved Gaussian Process Regression by Abha Pragati, Manohar Mishra, Pritam Bhowmik, Josep M. Guerrero, Debadatta Amaresh Gadanayak

Get full text

Monitoring land-use changes and predicting their spatio-temporal trends in Hamedan City by Naser Shafiei Sabet, Faranak Feyzbabaei cheshmeh sefidi

“…After land use detection and its changes, the trend of these changes was predicted in 2050 using the automatic cell model and Markov chain due to its high ability to detect spatial-spatial component changes.Results and discussion: Results indicated that the growth and development of urbanization in this metropolis have led to the city's expansion in this area. …”
Get full text

Gradient Flow Decoding by Tadashi Wadayama, Lantian Wei

Get full text

Incorporating acute HIV infection screening, same‐day diagnosis and antiretroviral treatment into routine services for key populations at sexual health clinics in Indonesia: a base... by Irwanto Irwanto, Nurhayati H. Kawi, Hendry Luis, Dwi P. Rahmawati, Erik P. Sihotang, Pande Putu Januraga, Margareta Oktaviani, Suwarti Suwarti, Gilbert Lazarus, Evi Sukmaningrum, Evy Yunihastuti, Maartje Dijkstra, Eduard J. Sanders, F. Stephen Wignall, Keerti Gedela, Raph L. Hamers, the INTERACT Study Group

“…We used an AHI risk‐score self‐assessment and test algorithm comprising a fourth‐generation antibody/p24 antigen rapid diagnostic test (4gRDT; Abbott Determine HIV Early Detect) and, if negative/discordant, followed by HIV‐PCR (Cepheid Xpert) (either individual or pooled‐sample testing). …”
Get full text

Identification of dementia and MCI cases in health information systems: An Italian validation study by Ilaria Bacigalupo, Flavia L. Lombardo, Anna Maria Bargagli, Silvia Cascini, Nera Agabiti, Marina Davoli, Silvia Scalmana, Annalisa Di Palma, Annarita Greco, Marina Rinaldi, Roberta Giordana, Daniele Imperiale, Piero Secreto, Natalia Golini, Roberto Gnavi, Franca Lovaldi, Carlo A. Biagini, Elisa Gualdani, Paolo Francesconi, Natalia Magliocchetti, Teresa Di Fiandra, Nicola Vanacore

“…The sensitivity, specificity, and positive and negative predictive values in discerning cases of dementia were 74.5%, 96.0%, 94.9%, and 79.1%, respectively, whereas in detecting cases of MCI these values were 29.7%, 97.5%, 92.2%, and 58.1%, respectively. …”
Get full text

Automating areas of interest analysis in mobile eye tracking experiments based on machine learning by Julian Wolf, Stephan Hess, David Bachmann, Quentin Lohmeyer, Mirko Meboldt

“…The new algorithm’s performance is validated against a manual fixation-by-fixation mapping, which is considered as ground truth, in terms of true positive rate (TPR), true negative rate (TNR) and efficiency. …”
Get full text

Can artificial intelligence and contrast-enhanced mammography be of value in the assessment and characterization of breast lesions? by Lamiaa Mohamed Bassam Hashem, Heba Monir Azzam, Ghadeer Saad Abd El-Shakour El-Gamal, MennatAllah Mohamed Hanafy

“…The resulting mammographic images were processed using AI algorithm. In our study, CEM demonstrated a sensitivity of 98.33%, specificity of 92.86%, positive predictive value (PPV) of 98.34%, negative predictive value (NPP) of 92.85%, and accuracy of 97.3%. …”
Get full text

Managing demolition wastes using GIS and optimization techniques by Mohamed Marzouk, Eman Othman, Mahmoud Metawie

“…So, these wastes must be appropriately managed to decrease their negative impacts. As a result, this research presents a framework that automatically detects demolishing wastes' location and optimizes utilized resources in demolition and transportation processes. …”
Get full text

Online and Offline Identification of False Data Injection Attacks in Battery Sensors Using a Single Particle Model by Victoria A. O'Brien, Vittal S. Rao, Rodrigo D. Trevizan

“…Throughout the batch simulations, the CUSUM algorithm detected attacks, with no false positives, in 99.83% of cases, identified the corrupted sensor in 97% of cases, and determined if the attack was positively or negatively biased in 97% of cases.…”
Get full text

Interpretation of elevated baseline concentrations and serial changes of high‐sensitivity cardiac troponin T in confirmed muscular dystrophies by Mustafa Yildirim, Christoph Reich, Christian Salbach, Regina Pribe‐Wolferts, Barbara Ruth Milles, Tobias Täger, Matthias Mueller‐Hennessen, Markus Weiler, Benjamin Meder, Norbert Frey, Evangelos Giannitsis

“…Applying the criteria of the ESC 0/1 h algorithm for triage of suspected acute coronary syndrome (ACS) showed poor overall effectiveness of baseline hs‐cTnT values. …”
Get full text

Accuracy improvement in financial sanction screening: is natural language processing the solution? by Seihee Kim, ShengYun Yang

Get full text

FragMangro: A cross-domain zero-shot model for monitoring fragmented mangrove ecosystems by Ruoxin Zhang, Angela An, Mingcan Cen, Chong Zhang, Aimee Huangfu, Sunny Vinnakota, Shuxiang Song

“…Abstract Monitoring fragmented mangrove ecosystems presents significant challenges due to their sparse distribution and the limitations of traditional detection methods, which often suffer from poor convergence and high rates of false positives and false negatives. …”
Get full text

UEF-HOCUrdu: Unified Embeddings Ensemble Framework for Hate and Offensive Text Classification in Urdu by Kifayat Ullah, Muhammad Aslam, Muhammad Usman Ghani Khan, Faten S. Alamri, Amjad Rehman Khan

Get full text

The relationship between activities of daily living and speech impediments based on evidence from statistical and machine learning analyses by Liu Jun, Hongguo Li, Yu Mao, Lan Hu, Dan Wu

“…The inclusion of BI in the models improved the overall predictive performance, highlighting its positive impact on SI prediction.ConclusionThe study employed various statistical methodologies to demonstrate a significant negative correlation between ADL and SI, a finding further corroborated by machine learning algorithms. …”
Get full text

Time series segmentation for recognition of epileptiform patterns recorded via microelectrode arrays in vitro. by Gabriel Galeote-Checa, Gabriella Panuccio, Angel Canal-Alonso, Bernabe Linares-Barranco, Teresa Serrano-Gotarredona

“…The ZdensityRODE algorithm showcased a precision and recall of 93% for ictal event detection and 42% precision for interictal event detection, while the AMPDE algorithm attained a precision of 96% and recall of 90% for ictal event detection and 54% precision for interictal event detection. …”
Get full text

Influence of Aerobic Exercise Load Intensity on Children’s Mental Health by Sihong Zhao

“…This technique includes several commonly used and improved video analysis algorithms. The use of moving target and tracking technology and algorithms can completely extract moving targets, eliminate the phenomenon of void and nothingness, and improve data acquisition and analysis capabilities. …”
Get full text