Real-time traffic monitoring system using IoT-aided robotics and deep learning techniques by Mohammed Qader Kheder, Aree Ali Mohammed

“…Recently, various solutions have been proposed to solve the problems and concerns in traffic situations. One alternative solution is vehicular cloud computing (VCC). …”
Get full text

A Novel Method to Evaluate Patient-Ventilator Synchrony during Mechanical Ventilation by Liming Hao, Shuai Ren, Yan Shi, Na Wang, Yixuan Wang, Zujin Luo, Fei Xie, Meng Xu, Jian Zhang, Maolin Cai

“…Then, the PVA phenomena are classified and detected based on the analysis of the ventilator waveforms. …”
Get full text

Prediction and Stage Classification of Pressure Ulcers in Intensive Care Patients by Machine Learning by Mürsel Kahveci, Levent Uğur

“…In particular, the effectiveness of algorithms such as SVM, ANN and KNN in detecting early-stage ulcers is promising in terms of integration into clinical decision support systems. …”
Get full text

Intelligent Photolithography Corrections Using Dimensionality Reductions by Parag Parashar, Chandni Akbar, Tejender S. Rawat, Sparsh Pratik, Rajat Butola, Shih H. Chen, Yung-Sung Chang, Sirapop Nuannimnoi, Albert S. Lin

“…In this work, we use dimensionality reduction (DR) algorithms to reduce the computation time of complex OPC/EPC problems while the prediction accuracy is maintained. …”
Get full text

Security defense technology of power grid dispatching automation system based on hierarchical protection by ZHU Wen, HU Yaping, NIE Yongquan, JIANG Wei, XIE Hu

“…In order to solve this problem, the security defense technology of power grid dispatching automation system based on hierarchical protection is proposed. …”
Get full text

Stage actor tracking method based on infrared ink marking(基于红外油墨标记的舞台演员跟踪算法) by 李平(LI Ping), 陈书界(CHEN Shujie), 王登辉(WANG Denghui), 刘钟淋(LIU Zhonglin), 王勋(WANG Xun), 周迪(ZHOU Di), 丁勇(DING Yong)

“…Due to the characteristics of similar appearance of actors, drastic changes in illumination, and frequent occlusions that always happen on the stage performance, direct use of existing tracking algorithms will cause a problem of frequent actor identities switching, making the related downstream tasks such as actor action recognition and virtual reality based projection difficult to be carried out. …”
Get full text

Reconstruction of Tokamak Plasma Emissivity Distribution by Approximation with Basis Functions by Tomasz Czarski, Maryna Chernyshova, Katarzyna Mikszuta-Michalik, Karol Malinowski

“…This contribution presents the development of numerical algorithms addressing the problem of radiation tomography reconstruction. …”
Get full text

Impact of bridging the gap between Artificial Intelligence and nanomedicine in healthcare by Divyam Mishra, Bhavishya Chaturvedi, Vishal Soni, Dhairya Valecha, Megha Goel, Jamilur R. Ansari

“…Concurrently, Artificial Intelligence (AI) simulates human cognitive processes, enabling machines to make decisions and solve problems. Within AI, subfields such as Machine Learning and Deep Learning leverage vast datasets to predict outcomes based on historical trends. …”
Get full text

Novel machine learning paradigms-enabled methods for smart building operations in data-challenging contexts: Progress and perspectives by Fan Cheng, Lei Yutian, Mo Jinhan, Wang Huilong, Wu Qiuting, Cai Jiena

“…Building operational data typically suffer from data quality problems, such as insufficient labeled and imbalanced data, making them incompatible with conventional machine learning algorithms. …”
Get full text

Downscaling air temperatures for high-resolution niche modeling in a valley of the Amazon lowland forests: A case study on the microclima R package. by M J Pohl, L Lehnert, B Thies, K Seeger, M B Berdugo, S R Gradstein, M Y Bader, J Bendix

“…Despite problems with the distinction between CAD and non-CAD events the microclima algorithms show difficulties in correctly modeling the diurnal course of the temperature data and the amplitudes of elevational temperature gradients. …”
Get full text

RETRACTED ARTICLE: A combined microfluidic deep learning approach for lung cancer cell high throughput screening toward automatic cancer screening applications by Hadi Hashemzadeh, Seyedehsamaneh Shojaeilangari, Abdollah Allahverdi, Mario Rothbauer, Peter Ertl, Hossein Naderi-Manesh

“…The rapid development of machine learning techniques, especially deep learning algorithms, has attracted much interest in its application to medical image problems. …”
Get full text

GRAVITY ANOMALIES OF THE CRUST AND UPPER MANTLE FOR CENTRAL AND SOUTH ASIA by V. N. Senachin, A. A. Baranov

“…Studying the density of both the crust and mantle is one of the topical problems in modern geophysics. Gravity modeling in combination with seismic tomography is an important tool for detecting density inhomogeneities in the crust and mantle, which can cause stresses and thus significantly impact the regional tectonics [Pogorelov, Baranov, 2010], especially in zones wherein continental margins actively interact with subducting oceanic plates and the entire depth of the tectonosphere is subject to stresses. …”
Get full text

Therapeutic and Diagnostic Tactics for Metastases to the Lymph Nodes of the Neck without an Identified Primary Focus by M. I. Sokolova, V. I. Pavlova

“…Metastasis to the lymph nodes of the neck without remains an urgent interdisciplinary problem. Prospective multicenter studies are required to improve and optimize the algorithms for diagnosis and treatment of these patients.…”
Get full text

The Use of Artificial Intelligence in Medical Diagnostics: Opportunities, Prospects and Risks by Nataliia Sheliemina

“…However, the AI use in medicine carries certain risks related to ethics and data privacy, shortcomings in the quality of data for training algorithms, and importance of protecting against cyberthreats. …”
Get full text

Deep learning in microbiome analysis: a comprehensive review of neural network models by Piotr Przymus, Krzysztof Rykaczewski, Adrián Martín-Segura, Jaak Truu, Enrique Carrillo De Santa Pau, Mikhail Kolev, Mikhail Kolev, Irina Naskinova, Aleksandra Gruca, Alexia Sampri, Alexia Sampri, Marcus Frohme, Alina Nechyporenko, Alina Nechyporenko

“…We examine how these models are being applied to solve key problems and highlight potential pathways to overcome current limitations, emphasizing the transformative impact DL could have on the field moving forward.…”
Get full text

Social Media Suicide Watch by Katherine Prothro

“…Her own Twitter account revealed signals of her worsening mental health crisis.[1] While better content censoring could have helped, an algorithm capable of detecting her worsening mental state and alerting trusted individuals could have also served as a crucial safety net. …”
Get full text

FrameBoost: Advanced Video Analytics With Inference Trigger Frame Selection via Tracking Error Estimation by Jin Mo Yang, Sunwook Hwang, Jeongjun Park, Saewoong Bahk

“…For real-time video analytics, the inference trigger frame selection problem is crucial. While continuous video streams offer rich data, processing every frame is computationally intensive. …”
Get full text

KOC_Net: Impact of the Synthetic Minority Over-Sampling Technique with Deep Learning Models for Classification of Knee Osteoarthritis Using Kellgren–Lawrence X-Ray Grade by Syeda Nida Hassan, Mudassir Khalil, Humayun Salahuddin, Rizwan Ali Naqvi, Daesik Jeong, Seung-Won Lee

“…KOA identification using deep learning (DL) algorithms has gained popularity during the past few years. …”
Get full text

Modeling the effects of land use change on agricultural carrying capacity and food security by R. Harini, R. Rijanta, E.H. Pangaribowo, R.F. Putri, I. Sukri

“…BACKGROUND AND OBJECTIVES: Food security is a global issue outlined in the sustainable development goals. Food problems are related to the availability of food sources. …”
Get full text

Mapping Invasive <italic>Spartina alterniflora</italic> Using Phenological Information and Red-Edge Bands of Sentinel-2 Time-Series Data by Yiwei Ma, Li Zhuo, Jingjing Cao

“…Results indicated that red-edge information at different phenological periods is essential for detecting <italic>S. alterniflora</italic>. <italic>S. alterniflora</italic> extraction achieved the highest accuracy of 96.57&#x0025; by using the eXtreme gradient boost algorithm when compared with other machine-learning algorithms. …”
Get full text