Deep reinforcement learning for time-critical wilderness search and rescue using drones by Jan-Hendrik Ewers, David Anderson, Douglas Thomson

“…This paper proposes a novel algorithm using deep reinforcement learning to create efficient search paths for drones in wilderness environments. …”
Get full text

Development and Preliminary testing of a Mixing and Pelletizing Machine for Livestock Feeds Production by T.A. Ishola, R.A. Busari, O.S. Aboyeji

“…A mixing and pelletizing machine was designed and constructed to mix and pelletize pulverized feed materials (elephant grass, wheat bran, cassava peel, molasses, cassava starch, bone meal, maize stover and groundnut cake). …”
Get full text

Beamforming Transmission in IEEE 802.11ac under Time-Varying Channels by Heejung Yu, Taejoon Kim

“…The IEEE 802.11ac wireless local area network (WLAN) standard has adopted beamforming (BF) schemes to improve spectral efficiency and throughput with multiple antennas. …”
Get full text

Robot Closed-Loop Grasping Based on Deep Visual Servoing Feature Network by Junqi Luo, Zhen Zhang, Yuangan Wang, Ruiyang Feng

“…Robot visual servoing for grasping has long been challenging to execute in complex visual environments because of issues with efficient feature extraction. …”
Get full text

Development and Preliminary testing of a Mixing and Pelletizing Machine for Livestock Feeds Production by T.A. Ishola, R.A. Busari, O.S. Aboyeji

“…A mixing and pelletizing machine was designed and constructed to mix and pelletize pulverized feed materials (elephant grass, wheat bran, cassava peel, molasses, cassava starch, bone meal, maize stover and groundnut cake). …”
Get full text

Retracted: Estimation of International Gold Price by Fusing Deep/Shallow Machine Learning by Journal of Advanced Transportation

Get full text

Traffic Status Prediction of Arterial Roads Based on the Deep Recurrent Q-Learning by Wei Hao, Donglei Rong, Kefu Yi, Qiang Zeng, Zhibo Gao, Wenguang Wu, Chongfeng Wei, Biljana Scepanovic

“…With the exponential growth of traffic data and the complexity of traffic conditions, in order to effectively store and analyse data to feed back valid information, this paper proposed an urban road traffic status prediction model based on the optimized deep recurrent Q-Learning method. …”
Get full text

Ensemble Deep Learning Object Detection Fusion for Cell Tracking, Mitosis, and Lineage by Imad Eddine Toubal, Noor Al-Shakarji, D. D. W. Cornelison, Kannappan Palaniappan

Subjects: Get full text

Optimizing infant neuroimaging methods to understand the neurodevelopmental impacts of early nutrition and feeding by Claudia A. Carreno, Megan E. Evans, Blakely K. Lockhart, Oziomachukwu Chinaka, Benjamin Katz, Martha Ann Bell, Brittany R. Howell

Subjects: “…EEG…”
Get full text

A Precise Analysis of the Behavior of Pit Side Tunnels Caused by Deep Excavation by Huasheng Sun, Yuexin Zhao, Yadong Chen, Jiahui Li

“…As urbanization gathers pace, projects involving adjacent subway tunnels are increasing, thereby amplifying the need for robust tunnel protection measures. Currently, there exists a notable lack of precise analyses on the three-dimensional (3D) deformation laws and mechanisms of tunnels affected by adjacent deep excavation. …”
Get full text

Efficient and accurate identification of maize rust disease using deep learning model by Pei Wang, Pei Wang, Jiajia Tan, Yuheng Yang, Yuheng Yang, Tong Zhang, Pengxin Wu, Xinglong Tang, Hui Li, Xiongkui He, Xinping Chen

Get full text

Evaluation of the Most Current and Effective Methods in the Analysis of Chlorinated Dioxins in Ground Beef by Ebere C. Anyanwu, Mohamed H. El-Saeid, Akpan I. Akpan, Mahmoud A. Saled

“…This paper reviews the analysis of chlorinated dioxins in ground beef. The sources of contamination of chlorinated dioxins in ground beef are first reviewed to form a basis for a clear understanding of the health implications of chlorinated dioxins in the human food chain and why it is necessary to monitor the level of dioxins in animal food products, especially ground beef. …”
Get full text

Studies on the Biology of the Chrysopidae II. The Feeding Behavior of the Adult of Chrysopa carnea (Neuroptera) by Joseph K. Sheldon, Ellis G. MacLeod

Get full text

Lead Fractures in Deep Brain Stimulation during Long-Term Follow-Up by Fernando Seijo Fernández, Marco Antonio Alvarez Vega, Aida Antuña Ramos, Fernando Fernández González, Beatriz Lozano Aragoneses

Get full text

Shifting Paradigms: A Deep Dive Into Public Perceptions of Gender-affirming Surgery by Justin M. Camacho, MBA, Michael Alfertshofer, MD, Heli S. Patel, MBA, Daniel Najafali, BS, Noelle Thompson, BS, Victoria Stoffel, MS, Chris M. Reid, MD, Michael Alperovich, MD, Samuel Knoedler, BS, Leonard Knoedler, MD

“…These insights underscore the need for targeted educational efforts to increase awareness, rectify misconceptions, and promote a deeper understanding of GAS within society.…”
Get full text

Minutes of the ultimate meeting of this International Editorial Board of the Metalurgija Journal 2025 y by Mamuzić Ilija

“…Minutes of the Last Meeting of the Editorial Board of the Journal Metalurgija. …”
Get full text

Harnessing deep learning to detect bronchiolitis obliterans syndrome from chest CT by Mateusz Koziński, Doruk Oner, Jakub Gwizdała, Catherine Beigelman-Aubry, Pascal Fua, Angela Koutsokera, Alessio Casutt, Argyro Vraka, Michele De Palma, John-David Aubert, Horst Bischof, Christophe von Garnier, Sahand Jamal Rahi, Martin Urschler, Nahal Mansouri

“…Abstract Background Bronchiolitis Obliterans Syndrome (BOS), a fibrotic airway disease that may develop after lung transplantation, conventionally relies on pulmonary function tests (PFTs) for diagnosis due to limitations of CT imaging. Deep neural networks (DNNs) have not previously been used for BOS detection. …”
Get full text

Deep Learning Approach for Automatic Classification of Ocular and Cardiac Artifacts in MEG Data by Ahmad Hasasneh, Nikolas Kampel, Praveen Sripad, N. Jon Shah, Jürgen Dammers

“…We propose an artifact classification scheme based on a combined deep and convolutional neural network (DCNN) model, to automatically identify cardiac and ocular artifacts from neuromagnetic data, without the need for additional electrocardiogram (ECG) and electrooculogram (EOG) recordings. …”
Get full text

Experimental Studies of Thermal Hydraulics of Deep Eutectic Solvent Based on Choline Chloride by Myung Hyun Pyo, Siwon Seo, Jaeyoung Lee

“…So molten salt has recently been researched a lot as heat storage and a transfer medium. …”
Get full text

Reflections of adolescent motherhood on infant and young child feeding practices: the case of Uganda by Gözde Zeynep Yeşiloğlu, Suzan Yalçin, Sıddika Songül Yalçin

Subjects: Get full text