GEOINFORMATION TECHNOLOGIES IN THE TRAINING OF FUTURE MINING ENGINEERS by Vladimir S. Morkun, Serhiy O. Semerikov, Svitlana M. Hryshchenko

“…In the professional activities of mining engineers, information technologies make it possible not only to consider the location of production units of a mining company, mineral warehouses and rock dumps of a mining company at any required level of detail, but also to help meet the basic environmental requirements in the field of mining.  …”
Get full text

Rhizosphere engineering for semiarid tropics: prospects and bottlenecks by Anurag Yadav, Kusum Yadav, Rumana Ahmad

“…These challenges underscore the need for continuous research and innovation in this field. Despite being in its infancy, rhizosphere engineering has already accumulated a wealth of information and insights. …”
Get full text

A Program for Master of Information Technology by Kabale University

Get full text

Increasing Field Efficiency of Farm Machinery Using GPS by Reza Ehsani

Get full text

Scientific and Technical Texts: Translation Aspects in Electrical and Computer Engineering by Irina Suima

“…The purpose of the paper is to study the lexical and grammatical levels of technical documentation in the English and Ukrainian languages, as well as to analyze the means of expression of English technical documentation in the Ukrainian language in the field of electrical engineering and computer technology in order to achieve adequacy. …”
Get full text

DEVELOPMENT OF CLIP THINKING OF HIGHER EDUCATION STUDENTS IN INFORMATION ENVIRONMENT by Sergey Bushuyev, Halyna Korchova, Yurii Krasylnyk, Mykola Rudenko, Borys Kozyr

Get full text

Cricketing Insights Unveiled: Python-Based Information Extraction from IPL by Kubra Bashir, Afsheen Maroof, Fatima Maqbool, Kiran Bashir, Syeda Iqra Hassan

Get full text

Designing and Explaining the Competence Model of Knowledge Engineers in Municipalities (Study Case: Tehran Municipality) by Amin Seyyed Nosrati, Zahra Foroutani, Atyieh Bohrani

“…Moreover, the competencies identified in this study can inform the development of training programs and development initiatives in the field of knowledge management within municipalities, thereby increasing the effectiveness and impact of these programs.…”
Get full text

A Comprehensive Review of Direction-of-Arrival Estimation and Localization Approaches in Mixed-Field Sources Scenario by Amir Masoud Molaei, Bijan Zakeri, Seyed Mehdi Hosseini Andargoli, Muhammad Ali Babar Abbasi, Vincent Fusco, Okan Yurduseven

Get full text

A CNN-RF Hybrid Approach for Rice Paddy Fields Mapping in Indramayu Using Sentinel-1 and Sentinel-2 Data by Dodi Sudiana, Mia Rizkinia, Rahmat Arief, Tiara De Arifani, Anugrah Indah Lestari, Dony Kushardono, Anton Satria Prabuwono, Josaphat Tetuko Sri Sumantyo

Get full text

CPP: a path planning method taking into account obstacle shadow hiding by Ruixin Zhang, Qing Xu, Youneng Su, Ruoxu Chen, Kai Sun, Fengchang Li, Guo Zhang

Get full text

Automatic detection and counting of wheat spike based on DMseg-Count by Hecang Zang, Yilong Peng, Meng Zhou, Guoqiang Li, Guoqing Zheng, Hualei Shen

Get full text

Study of GaN Hall Effect Magnetic Sensors by Vlad Marsic, Soroush Faramehr, Isha Maini, David A. J. Moran, Petar Igic

Get full text

Evaluation of variable MHD flow with Nernst-Planck model under the effect of entropy generation and chemical reactions by Maria Altaib Badawi, Waris Khan, Wajid Ullah Jan, Fethi Mohamed Maiz, Adel Thaljaoui, Rashid Iqbal

Get full text

HSSCIoT: An Optimal Framework Based on Internet of Things-Cloud Computing for Healthcare Services Selection in Smart Hospitals by Oanh Nguyen

Get full text

Quantitative assessment of PINN inference on experimental data for gravity currents flows by Mickaël Delcey, Yoann Cheny, Jean Schneider, Simon Becker, Sébastien Kiesgen De Richter

“…In this paper, we apply physics informed neural networks (PINNs) to infer velocity and pressure field from light attenuation technique (LAT) measurements for gravity current induced by lock-exchange. …”
Get full text

Assessing Driving Risk Level: Harnessing Deep Learning Hybrid Model With Intercity Bus Naturalistic Driving Data by Wei-Hsun Lee, Che-Yu Chang

“…This study advances the field by developing a deep learning hybrid model for time series analysis to categorize driving risks into low, moderate, and high levels. …”
Get full text

Control System for U-Arm Robot Arm Movement with Linear Gripper Based on Inverse Kinematic Method by Aditya Putra Perdana Prasetyo, Ikang Rahmatullah, Kemahyanto Exaudi, Rendyansyah Rendyansyah

Get full text

Deep Learning-Based Dzongkha Handwritten Digit Classification by Yonten Jamtsho, Pema Yangden, Sonam Wangmo, Nima Dema

Get full text

Artificially intelligent detection of retinal pigment sign using P3S-Net for retinitis pigmentosa analysis by Syed Muhammad Ali Imran, Abida Hussain, Nema Salem, Muhammad Arsalan

Get full text