Leveraging time-based spectral data from UAV imagery for enhanced detection of broomrape in sunflower by Guy Atsmon, Anna Brook, Tom Avikasis Cohen, Fadi Kizel, Hanan Eizenberg, Ran Nisim Lati

Get full text

Electronic structure of mesoionic compounds. The classification problem by Mariia Kyrpa, Sergiy Kovalenko, Volodymyr Ivanov

“…At the same time, based on NICS calculations we concluded that both classes are not characterized by pronounced aromaticity of the mesoionic ring for the selected set of molecules.…”
Get full text

Characterizing the distribution of neural and non-neural components in multi-echo EPI data across echo times based on tensor-ICA by Tengfei Feng, Halim Ibrahim Baqapuri, Jana Zweerings, Huanjie Li, Fengyu Cong, Klaus Mathiak

Get full text

An automatic classification of breast cancer using fuzzy scoring based ResNet CNN model by Nisha Y., Jagadeesh Gopal

Get full text

Urban tree species benchmark dataset for time series classificationEasyData - Data Terra by Clément Bressant, Romain Wenger, David Michéa, Anne Puissant

“…We present a benchmark dataset for urban tree species classification based on multi-source optical satellite image time series (SITS). …”
Get full text

Simulation of Tennis Match Scene Classification Algorithm Based on Adaptive Gaussian Mixture Model Parameter Estimation by Yuwei Wang, Mofei Wen

“…This paper presents an in-depth analysis of tennis match scene classification using an adaptive Gaussian mixture model parameter estimation simulation algorithm. …”
Get full text

Morphological Classification of Extraction Sockets and Clinical Decision Tree for Socket Preservation/Augmentation after Tooth Extraction: a Systematic Review by Gintaras Juodzbalys, Arturas Stumbras, Samir Goyushov, Onurcem Duruel, Tolga Fikret Tözüm

“…Furthermore, present study revealed that indications for extraction socket preservation/augmentation have wider spectrum than socket morphology and are related to surrounding tissue anatomy or dental implantation operation indications and timing. Based on currently proposed extraction socket classifications and rationales, a novel decision tree for extraction socket preservation/augmentation immediately after tooth extraction in aesthetic and non-aesthetic area was suggested. …”
Get full text

Dysfluent Speech Classification Using Variational Mode Decomposition and Complete Ensemble Empirical Mode Decomposition Techniques With NGCU-Based RNN by N. A. Vinay, K. N. Vidyasagar, S. Rohith, S. Supreeth, S. N. Prasad, S. Pramod Kumar, S. H. Bharathi

“…Dysfluency refers to discontinuity in speech due to noise or speech disorder, this dysfluency has unique features in terms of pitch and time based on these characteristics the dysfluent speech is categorized into repetition, prolongation, or blocking of words or phrases, and because of this uneven structure in speech, it named unstructured speech. …”
Get full text

Driving Pattern Analysis, Gear Shift Classification, and Fuel Efficiency in Light-Duty Vehicles: A Machine Learning Approach Using GPS and OBD II PID Signals by Juan José Molina-Campoverde, Juan Zurita-Jara, Paúl Molina-Campoverde

“…This study proposes an automatic gear shift classification algorithm in M1 category vehicles using data acquired through the onboard diagnostic system (OBD II) and GPS. …”
Get full text

A dynamic network traffic classifier using supervised ML for a Docker-based SDN network by Pritom Kumar Mondal, Lizeth P. Aguirre Sanchez, Emmanuele Benedetto, Yao Shen, Minyi Guo

Get full text

Investigating Brain Responses to Transcutaneous Electroacupuncture Stimulation: A Deep Learning Approach by Tahereh Vasei, Harshil Gediya, Maryam Ravan, Anand Santhanakrishnan, David Mayor, Tony Steffert

“…Additionally, the classification accuracies across the pre-stimulation, during-stimulation, and post-stimulation phases remained consistently high (above 92%), indicating that EEGNet effectively captured the different time-based brain responses across different stimulation phases. …”
Get full text

Investigating the risks of late preterm and term neonatal morbidity across clinical subtypes of intrahepatic cholestasis of pregnancy by Wei-Zhen Tang, Wei-Zhen Tang, Yi-Fan Zhao, Lan Wang, Qin-Yu Cai, Qin-Yu Cai, Wei-Ze Xu, Li Wen, Xue-Bing Chen, Ting-He Sheng, Ting-He Sheng, Tian-Qi Fan, Tai-Hang Liu, Rong Li, Shang-Jing Liu

“…Personalized clinical management, optimizing delivery timing based on clinical subtypes, and providing UDCA to improve neonatal outcomes during pregnancy are important measures worthy of attention.…”
Get full text

Construction and scheduling optimization of renewable energy consumption forecasting system for twisted tire porcelain manufacturing industry based on deep learning by Fangrong Liao, Runlin Ran, Jiayi Zhang

“…At the same time, based on the convolutional neural network model Alexnet, the cross-entropy loss function is selected as the training loss, and the twisted tire porcelain pattern classification algorithm under the deep learning framework is designed. …”
Get full text

A Genetic Algorithm and PCA-Based Feature Selection to Improve the Failure Diagnosis Performance of Railway Vehicle Doors by Gil Hyun Kang, Ho Cheol Ki, Sang Hyun An, Juhee Choi, Chul Su Kim

“…A method of converting time-based data into position-based data was performed to overcome the deviation problem. …”
Get full text

Characterization and simulation of conglomerate reservoirs using core data of Triassic Baikouquan Formation, Mahu Depression by Xiangyang Li, Fengxia Li, Zhiwen Huang, Hancheng Ji, Haibo Wang, Liang Chen, Zhonghao Zhang, Xukai Shi

“…It introduces a new classification to better manage these complexities. In contrast to other classification methods, the proposed approach incorporates key factors influencing hydraulic fracture (HF) propagation, including grain size, cementation, supporting forms, and gravel composition, the latter of which is introduced for the first time. …”
Get full text

A comprehensive approach to Queue Waiting Time Prediction using Tree-Based Ensembles with Data Balancing and Explainable AI by Tapodhir Karmakar Taton, Bipin Saha, Md. Johirul Islam, Shaikh Khaled Mostaque

“…This process impressively enhances classification accuracy, especially for minority classes. …”
Get full text

Image Target Detection and Recognition Method Using Deep Learning by Hongyan Sun

“…Finally, the experimental results showed that the image target detection and recognition algorithm proposed in this paper can be better applied to image target detection and classification in complex environment and had higher detection efficiency and recognition accuracy than the existing models. …”
Get full text

Overview of Applications and Research Directions of Deep Learning Methods for Wind Power Prediction by LIU Tan, LIU Na, LIU Guiping, LIU Kunjie, LIU Min, ZHUANG Xufei, ZHANG Zhonghao

“…This paper outlines the research objectives of wind power prediction from the classification of wind power prediction, the general idea of implementation, and the evaluation method. …”
Get full text

Characteristics of the hydrological regime of the periglacial moraine lakes in the Altai by G. V. Pryakhina, V. A. Rasputina, E. S. Zelepukina, D. V. Bantcev, A. E. Kryzhanovskaya

“…The characteristics of hydrological regime of Altai lakes at different stages of development are described for the first time. Based on the criteria proposed, the classification of glacial and moraine lakes in the Altai high mountains was carried out. …”
Get full text

An energy-saving virtual machine scheduling algorithm for resource management based on cloud computing technology by Liangyu Zhang

“…In this paper, the current research status of cloud computing and virtual machine scheduling in cloud computing environments is analyzed, and the concept and characteristics, classification, application scenarios, and key technologies of cloud computing are elaborated. …”
Get full text