Multimodal lightweight neural network for Alzheimer's disease diagnosis integrating neuroimaging and cognitive scores by Bhoomi Gupta, Ganesh Kanna Jegannathan, Mohammad Shabbir Alam, Kottala Sri Yogi, Janjhyam Venkata Naga Ramesh, Vemula Jasmine Sowmya, Isa Bayhan

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Creating a retinal image database to develop an automated screening tool for diabetic retinopathy in India by Ramachandran Rajalakshmi, Thyparambil Aravindakshan PramodKumar, Ashis Kumar Dhara, Geetha Kumar, Naziya Gulnaaz, Shramana Dey, Sourav Basak, B Uma Shankar, Raka Goswami, Raja Mohammed, Suchetha Manikandan, Sushmita Mitra, Harsimran Thethi, Saravanan Jebarani, Sinnakaruppan Mathavan, Tamilselvi Sarveswaran, Ranjit Mohan Anjana, Viswanathan Mohan, Sambuddha Ghosh, Tushar Kanti Bera, Rajiv Raman

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YOLOv8 forestry pest recognition based on improved re-parametric convolution by Lina Zhang, Shengpeng Yu, Bo Yang, Shuai Zhao, Ziyi Huang, Zhiyin Yang, Helong Yu

“…IntroductionThe ecological and economic impacts of forest pests have intensified, particularly in remote areas. Traditional pest detection methods are often inefficient and inaccurate in complex environments, posing significant challenges for effective pest management. …”
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Effective Marine Monitoring with Multimodal Sensing and Improved Underwater Robotic Perception towards Environmental Protection and Smart Energy Transition by Hamidreza FARHADI TOLIE, REN Jinchang, Md Junayed HASAN, MA Ping, Somasundar KANNAN, LI Yinhe

“…Accurate, real-time sensing of these installations ensures more efficient operations, minimizes the environmental impact, and aids in the sustainable management of ocean resources. …”
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Factors influencingmicrobial transmission in a meat processing plant by B. Velebit, B. Lakicevic, A. A. Semenova, N. M. Revutskaya, Yu. K. Yushina, V. V. Nasonova

“…It is necessary to observe stringent sanitary and hygienic rules when performing these operations. Continuous cold chain management along all following stages of meat processing and control of the sanitary status of cold chambers during meat storage are of extreme importance. …”
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Developing real-time IoT-based public safety alert and emergency response systems by Han Zhang, Runze Zhang, Jiamanzhen Sun

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Real-Time Train Wheel Condition Monitoring by Fiber Bragg Grating Sensors by Chuliang Wei, Qin Xin, W. H. Chung, Shun-yee Liu, Hwa-yaw Tam, S. L. Ho

“…This approach is verified by extensive field test, and the preliminary results show that this electromagnetic-immune system provides an effective alternative for wheel defects detection. The system significantly increases the efficiency of maintenance management and reduces the cost for defects detection, and more importantly, avoids derailment timely.…”
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European collaborations for safe and efficient dismantling: digital twins, ontology and data exchange by Jacques Marie-Bénédicte, Räty Antti, Cabrerizo Joseph A. Ridao, Daniska Dusan

“…The large number of nuclear decommissioning projects must comply with the reliability and safety requirements in order to make the dismantling operations more efficient, safer and more cost-effective. …”
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Exploring deep learning for landslide mapping: A comprehensive review by Zhi-qiang Yang, Wen-wen Qi, Chong Xu, Xiao-yi Shao

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Dynamic resource provisioning in containerized edge systems with reconfigurable edge servers by Babatunde S. Awoyemi, Mduduzi C. Hlophe, Bodhaswar T. Maharaj

“…However, the high energy demands and excessive overhead associated with launching VMs are major obstacles to achieving energy-efficient operations in multi-access edge computing environments. …”
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Controlling Invasive Exotic Plants in North Florida Forests by Chris Demers, Patrick Minogue, Michael Andreu, Alan Long, Rick Williams

“…., invasive exotic species cost an estimated $120 billion each year in damages. Early detection and removal of invasive plants is the key to successful management. …”
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Research Progress and Prospect of Multi-robot Collaborative SLAM in Complex Agricultural Scenarios by MA Nan, CAO Shanshan, BAI Tao, KONG Fantao, SUN Wei

“…Thirdly, large language models will enhance human-robot interaction by enabling natural language commands, improving collaborative operations. Finally, the integration of digital twin technology will support more intelligent path planning and decision-making processes, especially in unmanned farms and livestock management systems. …”
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Pricing and Unresponsive Flows Purging for Global Rate Enhancement by G. Abbas, A. K. Nagar, H. Tawfik, J. Y. Goulermas

“…Pricing-based Active Queue Management (AQM), such as Random Exponential Marking (REM), outperforms other probabilistic counterpart techniques, like Random Early Detection (RED), in terms of both high utilization and negligible loss and delay. …”
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A Unified Approach to Image Recognition and Cryptography via Flexible Weak Inverse Property Quasigroups by Mohammad Mazyad Hazzazi, Muhammad Nadeem, Muhammad Kamran, Muhammad Arshad, Samuel Asefa Fufa

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Prototyping a graph-based approach for efficient vehicle tracking in a cluster controlled CCTV surveillance systems by Apurva NARAYAN, Charumathi PARIVALLAL, Olirva MAHESWARAN, Sarath CHANDRAN KALATHILPARAMBIL RAMACHANDRAN

“…Supported by data pipelines and frameworks, the system processes extensive CCTV footage to generate concise video summaries, optimizing the surveillance operations. The architecture offers scalable and adaptive solutions, aiming to improve the traffic management and emergency response by providing actionable insights through seamless integration of visual, audio, and textual data. …”
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Artificial Intelligence in the Oil and Gas Industry: Applications, Challenges, and Future Directions by Marcelo dos Santos Póvoas, Jéssica Freire Moreira, Severino Virgínio Martins Neto, Carlos Antonio da Silva Carvalho, Bruno Santos Cezario, André Luís Azevedo Guedes, Gilson Brito Alves Lima

“…The results highlight the transformative impact of AI on production operations, with key applications including optimizing operations through real-time data analysis, predictive maintenance to anticipate failures, advanced reservoir management through improved modeling, image and video analysis for continuous equipment monitoring, and enhanced safety through immediate risk detection. …”
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Iterative segmentation and classification for enhanced crop disease diagnosis using optimized hybrid U-Nets model by Malathi Chilakalapudi, Sheela Jayachandran

“…They are unable to achieve correct precision in disease classification, relatively lower accuracy, and delayed response time—all these obstacles result in a deficiency in effectual disease management and control. Our research proposes a new framework instigated and developed to improve crop disease detection and classification by multifaceted analysis. …”
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Cross-Scene Multi-Object Tracking for Drones: Leveraging Meta-Learning and Onboard Parameters with the New MIDDTD by Chenghang Wang, Xiaochun Shen, Zhaoxiang Zhang, Chengyang Tao, Yuelei Xu

“…Firstly, a lightweight object detection framework is proposed to optimize key sub-tasks by integrating multi-dimensional temporal and spatial information. …”
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Uganda's experience in establishing an electronic compendium for public health emergencies. by Alex Riolexus Ario, Dativa M Aliddeki, Daniel Kadobera, Lilian Bulage, Joshua Kayiwa, Milton M Wetaka, Simon Kyazze, Felix Ocom, Issa Makumbi, Paul Mbaka, Prosper Behumbiize, Immaculate Ayebazibwe, Stephen K Balinandi, Julius J Lutwama, Adam Crawley, Nomita Divi, John R Lule, Joseph C Ojwang, Julie R Harris, Amy L Boore, Lisa J Nelson, Jeff Borchert, Dennis Jarvis

“…Data within this compendium is being used to generate information that can guide future outbreak response and management. The compendium development highlights the importance of documenting outbreak detection and response data in a central location for future reference. …”
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Deciphering city-level residential AMI data: An unsupervised data mining framework and case study by Han Li, Miguel Heleno, Kaiyu Sun, Wanni Zhang, Luis Rodriguez Garcia, Tianzhen Hong

“…The insights gained can potentially inform better energy management strategies, support grid operations and planning, guide policy-making for energy efficiency improvements, as well as improve input and assumptions in the building energy modeling. …”
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