The role of 5G network in revolutionizing agriculture for sustainable development: A comprehensive review by Wasif ur Rehman, Mohsin Ali Koondhar, Samandar Khan Afridi, Lutfi Albasha, Idris H. Smaili, Ezzeddine Touti, Mouloud Aoudia, Wassim Zahrouni, Ibrahim Mahariq, M.M.R. Ahmed

“…Furthermore, the paper examines the potential impact of 5G technology on crucial agricultural tasks such as real-time monitoring, UAV operations, augmented reality (AR), virtual reality (VR) applications, virtual consultation, predictive maintenance, AI-driven robotics, and data analytics. Through a thorough analysis of these topics, the paper underscores the potential of 5G technology in enhancing productivity, reducing environmental impact, and advancing sustainable agricultural practices. …”
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BenthicNet: A global compilation of seafloor images for deep learning applications by Scott C. Lowe, Benjamin Misiuk, Isaac Xu, Shakhboz Abdulazizov, Amit R. Baroi, Alex C. Bastos, Merlin Best, Vicki Ferrini, Ariell Friedman, Deborah Hart, Ove Hoegh-Guldberg, Daniel Ierodiaconou, Julia Mackin-McLaughlin, Kathryn Markey, Pedro S. Menandro, Jacquomo Monk, Shreya Nemani, John O’Brien, Elizabeth Oh, Luba Y. Reshitnyk, Katleen Robert, Chris M. Roelfsema, Jessica A. Sameoto, Alexandre C. G. Schimel, Jordan A. Thomson, Brittany R. Wilson, Melisa C. Wong, Craig J. Brown, Thomas Trappenberg

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The Impact of Artificial Intelligence on Healthcare: A Comprehensive Review of Advancements in Diagnostics, Treatment, and Operational Efficiency by Md. Faiyazuddin, Syed Jalal Q. Rahman, Gaurav Anand, Reyaz Kausar Siddiqui, Rachana Mehta, Mahalaqua Nazli Khatib, Shilpa Gaidhane, Quazi Syed Zahiruddin, Arif Hussain, Ranjit Sah

“…The study aims to describe AI in healthcare, including important technologies like robotics, machine learning (ML), deep learning (DL), and natural language processing (NLP), and to investigate how these technologies are used in patient interaction, predictive analytics, and remote monitoring. …”
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Evaluation of the Mechanical Properties of Different Dental Resin-Based Materials After Submersion in Acidic Beverages by Răzvan Constantin Brânzan, Ionuț Tărăboanță, Cristina Angela Ghiorghe, Simona Stoleriu, Vlad Cârlescu, Andra Claudia Tărăboanță-Gamen, Sorin Andrian

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Response surface method-driven design of experiments for the synthesis of fly ash-based geopolymers in the gallic acid optimized removal from wastewater by Ana Paula Ferreira, Ana Paula S. Natal, Arthur P. Baldo, Adriano S. Silva, Jose L. Diaz de Tuesta, Pricila Marin, José A. Peres, Helder T. Gomes

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Framework for smartphone-based grape detection and vineyard management using UAV-trained AI by Sergio Vélez, Mar Ariza-Sentís, Mario Triviño, Antonio Carlos Cob-Parro, Miquel Mila, João Valente

“…However, these advancements often remain inaccessible to farmers due to their reliance on specialized hardware like ground robots or UAVs. On the other hand, most farmers have access to smartphones. …”
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Design and Analysis of Microstrip Patch Antennas to Support the Implementation of Smart Ports by M. Basuki Rahmat, Yuning Widiarti, Eko Setijadi, Azlina Idris, Aina Julia, Shipun Anuar Hamzah, K S H Putri

“… Smart port is a port concept which is designed and managed efficiently and effectively, which includes various technologies such as the use of automation systems, robotics, the Internet of Things (IoT), and data analysis. the main service to convert a port into a smart port or Port 4.0. categorized into three main areas: Smart infrastructure is focused on “fixed assets” in ports, such as buildings (e.g. warehouses or stacking areas), cranes, trains, and roads. …”
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Digital technologies for water use and management in agriculture: Recent applications and future outlook by Carlos Parra-López, Saker Ben Abdallah, Guillermo Garcia-Garcia, Abdo Hassoun, Hana Trollman, Sandeep Jagtap, Sumit Gupta, Abderrahmane Aït-Kaddour, Sureerat Makmuang, Carmen Carmona-Torres

“…It examines key water-related challenges - scarcity, pollution, inefficient use and climate change - and shows how various digital technologies such as Remote Sensing, Artificial Intelligence, the Internet of Things, Big Data, Robotics, Smart Sensors and Blockchain can help address them. …”
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Knowledge Distillation in Object Detection for Resource-Constrained Edge Computing by Arief Setyanto, Theopilus Bayu Sasongko, Muhammad Ainul Fikri, Dhani Ariatmanto, I. Made Artha Agastya, Rakandhiya Daanii Rachmanto, Affan Ardana, In Kee Kim

“…Edge computing, a distributed computing paradigm that places small yet capable computing devices near data sources and IoT sensors, is gaining widespread adoption in various real-world applications, such as real-time intelligent drones, autonomous vehicles, and robotics. Object detection (OD) is an essential task in computer vision. …”
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Effects of intra-class peer mentorship intervention programme on the academic performances of academically underperforming medical students in Nigeria by George Uchenna Eleje, David Chibuike Ikwuka, Kingsley Chinaza Nwosu, Lydia Ijeoma Eleje, Obiageli Ifeoma Ikwuka, Nasiru Sani, Jean Paul Niyoyita, Kazeem Bidemi Okesina, Uchechukwu Dimkpa, Uchechukwu Kevin Nwanna, Victor Bassey Archibong, Eric Twizeyimana, Niranjan Shridhar Divekar, Samuel Ifedioranma Ogenyi, Okwute Michael Ochayi, Marcus Bushaku, Elemi John Ani, Kingsley Chidiebere Nwaogu, Olufunke Onaadepo, Ibrahim Mohammed Sule, Emmanuel Chukwunweike Nwangwu, Chisom Adaobi Nri-Ezedi, Chinyere Ukamaka Onubogu, Arinze Anthony Onwuegbuna, Theophilus Osaje Okonoboh, Onyecherelam Monday Ogelle, Ezinne Ifeyinwa Nwaneli, Joseph Ifeanyichukwu Ikechebelu, Diresibachew Haile Wondimu, Edwin Okechukwu Nwobodo

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The mediating role of creative self-efficacy in the relationship between organizational intelligence and organizational agility of teachers by Abbas Gholtash

“….- Using new technologies such as robotics, virtual reality, educational websites and educational software can improve educational processes and stimulate teachers' creativity and innovation.…”
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A Wireless Sensor Network System with a Jumping Node for Unfriendly Environments by Jun Zhang, Guangming Song, Guifang Qiao, Zhen Li, Aimin Wang

“…To solve this problem, this paper presents the design of a jumping robot to serve as a robotic node for wireless sensor networks. …”
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The SAHR Setup-Controlling Hopping Speed and Height Using a Single Actuator by N. Cherouvim, E. Papadopoulos

“…In this paper we present and experimentally validate a control method for regulating both the forward speed and the apex height of a one-legged hopping robot, using only a single actuator. The control method is based on a dynamic model of the hopping robot and makes use of the dynamic coupling of the vertical and forward motions of the robot. …”
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Implementasi Simple Reflex Autonomous Smart Mopping The Floor by Asep Kosasih, Faisal Akbar

“…Penelitian ini merupakan penelitian lanjutan untuk mengimplementasikan konsep  robot Simple Reflex Autonomous Smart Mopping the Floor (SRASMF). …”
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Self-Stabilising Quadrupedal Running by Mechanical Design by Panagiotis Chatzakos, Evangelos Papadopoulos

“…We anticipate the proposed guidelines to assist in the design of new, and modifications of existing, quadruped robots. As an example, specific design changes for the Scout II quadruped robot that might improve its performance are proposed.…”
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Joint Motion Control for Lower Limb Rehabilitation Based on Iterative Learning Control (ILC) Algorithm by Wei Guan, Lan Zhou, YouShen Cao

“…In this paper, the experimental platform of lower limb exoskeleton rehabilitation robot is built, and the control system software and hardware design and robot prototype function test are carried out. …”
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Lower Limb Rehabilitation Using Patient Data by Alireza Rastegarpanah, Mozafar Saadat

“…The aim of this study is to investigate the performance of a 6-DoF parallel robot in tracking the movement of the foot trajectory of a paretic leg during a single stride. …”
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Intelligent Controllers for Multirobot Competitive and Dynamic Tracking by Mei Liu, Shuai Li, Xiaodi Li, Long Jin, Chenfu Yi, Zhiguan Huang

“…This paper focuses on the problem of target tracking using k fittest robots in a group of n mobile robots with n>k. We present centralized and distributed coordination models with all-to-all and limited communications, respectively. …”
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A dataset for tactile textures on uneven surfaces collected using a BioIn-Tacto sensing moduleMendeley Data by Maliheh Marzani, Soheil Khatibi, Ruslan Masinjila, Vinicius Prado da Fonseca, Thiago Eustaquio Alves de Oliveira

“…Effective human-like manipulation in robots depends on their capacity to recognize and identify textures in different environments. …”
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A lightweight prosthetic hand with 19-DOF dexterity and human-level functions by Hao Yang, Zhe Tao, Jian Yang, Wenpeng Ma, Haoyu Zhang, Min Xu, Ming Wu, Shuaishuai Sun, Hu Jin, Weihua Li, Liu Wang, Shiwu Zhang

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