QoS Based IoT Applications in LoRa Networks Using Multi-Dimensional Allocation Strategy by Ghassan El Helou, Marc Ibrahim, Rami Tawil, Yasser Mohanna

“…Moreover, the reliance of LoRaWAN on the Aloha access scheme introduces fundamental constraints for QoS consideration, making it difficult to develop complex algorithms for traffic control. Through a comprehensive review of existing algorithms, this paper evaluates strategies for managing QoS in heterogeneous LoRaWAN networks. …”
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The role of nanomedicine and artificial intelligence in cancer health care: individual applications and emerging integrations—a narrative review by Prasanthi Samathoti, Rajasekhar Komarla Kumarachari, Sarad Pawar Naik Bukke, Eashwar Sai Komarla Rajasekhar, Ashish Ashokkumar Jaiswal, Zohre Eftekhari

“…Nanomedicine leverages nanoparticles for targeted drug delivery, enhancing therapeutic efficacy while minimizing adverse effects. Concurrently, AI algorithms facilitate early cancer detection, personalized treatment planning, and predictive analytics, thereby optimizing clinical outcomes. …”
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Integrating Textual Queries with AI-Based Object Detection: A Compositional Prompt-Guided Approach by Silvan Ferreira, Allan Martins, Daniel G. Costa, Ivanovitch Silva

“…While object detection and recognition have been extensively adopted by many applications in decision-making, new algorithms and methodologies have emerged to enhance the automatic identification of target objects. …”
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Implementation and Performance of Lightweight Authentication Encryption ASCON on IoT Devices by Gabriela Cagua, Valerie Gauthier-Umana, Carlos Lozano-Garzon

“…Lightweight cryptographic algorithms have emerged to address these challenges, with ASCON gaining recognition for its robustness and efficiency. …”
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Similarity-Based Decision Support for Improving Agricultural Practices and Plant Growth by Iulia Baraian, Honoriu Valean, Oliviu Matei, Rudolf Erdei

“…The implementation of these algorithms represents a significant advancement toward data-driven and efficient agricultural practices.…”
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Epidemiological and clinical aspects of syphilis incidence in the Russian Federation and the Republic of Uzbekistan: comparative analysis by Margarita R. Rakhmatulina, Delya F. Porsokhonova, Elena Yu. Novoselova, Avaz Sh. Inoyatov

“…As a result of the study of regulatory documents regulating algorithms and principles of management of patients with syphilis, differences in laboratory diagnostic algorithms and treatment regimens were revealed, namely lower dosages of drugs and shorter treatment courses for patients with syphilis in the Republic of Uzbekistan compared with those in the Russian Federation.…”
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Two-Agent Single Machine Order Acceptance Scheduling Problem to Maximize Net Revenue by Jiaji Li, Yuvraj Gajpal, Amit Kumar Bhardwaj, Huangen Chen, Yuanyuan Liu

“…To solve the problem instances with realistic size, heuristic and metaheuristic algorithms have been proposed. A heuristic method is used to determine and secure a quick solution while the metaheuristic based on particle swarm optimization (PSO) is designed to obtain the near-optimal solution. …”
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Machine Learning Inference of Gene Regulatory Networks in Developing <i>Mimulus</i> Seeds by Albert Tucci, Miguel A. Flores-Vergara, Robert G. Franks

“…While the two algorithms yielded GRNs with different regulations and topologies when working with the same data subset, there was still significant overlap in the specific gene regulations they inferred, and they both identified potential novel regulatory mechanisms that warrant further investigation.…”
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Examining the role of social media in fostering responsible consumption: Insights from Bitcoin Adoption trends (2015–2023) by Yu Ge, Haochuan Wang, Kenny Soon Lee Cheah, Azni Zarina Binti Taha

“…A redesign of these algorithms is essential to elevate balanced, fact-based content that empowers users to make informed choices about Bitcoin. …”
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AI and Machine Learning in V2G technology: A review of bi-directional converters, charging systems, and control strategies for smart grid integration by Nagarajan Munusamy, Indragandhi Vairavasundaram

“…AI-powered predictive analytics can forecast energy demand and supply, enabling proactive charging and discharging strategies. ML algorithms can optimize charging rates, battery health, and grid stability while also detecting anomalies and preventing potential faults. …”
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Rolling window for detecting multiple Chan signatures to diagnose excessive water production by Ahmed MohamedSalih Musa Hamdoon, A. P. Mohammed Abdalla Ayoub Mohammed, A. P. Khaled Abdalla Elraies

“…Throughout, an iterative optimization process, window size was determined as seven points, considering pattern duration. Eight algorithms were evaluated, with Support Vector Machines (SVM) and Random Forest (RF) achieving a remarkable 94% F1 score while the remaining algorithms averaged 93%.…”
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Perspectives on Managing AI Ethics in the Digital Age by Lorenzo Ricciardi Celsi, Albert Y. Zomaya

“…This study reviews key ethical concerns such as algorithmic bias, transparency, accountability, and the tension between automation and human oversight. …”
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A Comparative Study on Detection and Recognition of Nonuniform License Plates by Mehak Arshid, Muhammad Raees Azam, Zahid Mahmood

“…Our study concludes that, for the task of license plate detection, Faster-RCNN yields a detection accuracy of 98.35%, while the E2E method delivers 98.48% accuracy. Both detection algorithms yielded a mean detection accuracy of 98.41%. …”
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Artificial Intelligence in Medical Education: Promise, Pitfalls, and Practical Pathways by Saroha S

“…While AI-driven transcription tools reduce administrative burdens and machine learning algorithms enhance diagnostic accuracy, the risks of over-reliance, algorithmic bias, and patient data security remain critical concerns. …”
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A novel soft gripper for baby broccoli robotic harvesting by Rizan Mohamed, Gayan Kahandawa Appuhamillage, Joarder Kamruzzaman, Alexandra Keith, Linh Nguyen

“…Our approach combines mechanical design optimization with adaptive force control algorithms to address the variability inherent in agricultural environments. …”
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Integrating AIoT Technologies in Aquaculture: A Systematic Review by Fahmida Wazed Tina, Nasrin Afsarimanesh, Anindya Nag, Md Eshrat E. Alahi

“…Future advancements in AIoT should prioritise real-time adaptability, cost-effectiveness, and sustainability while emphasizing the importance of multimodal systems, advanced biosensing capabilities, and digital twin technologies. …”
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Towards fairness-aware and privacy-preserving enhanced collaborative learning for healthcare by Feilong Zhang, Deming Zhai, Guo Bai, Junjun Jiang, Qixiang Ye, Xiangyang Ji, Xianming Liu

“…Abstract The widespread integration of AI algorithms in healthcare has sparked ethical concerns, particularly regarding privacy and fairness. …”
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SEAP: squeeze-and-excitation attention guided pruning for lightweight steganalysis networks by Qiushi Li, Shenghai Luo, Shunquan Tan, Zhenjun Li

“…Abstract In recent years, the increasing computational and storage demands of deep steganalysis models have drawn attention to lightweight architectures. While pruning algorithms for image steganalysis networks have been proposed, they often do not apply to networks equipped with mobile inverted bottleneck (MBConv) structures, such as EfficientNet. …”
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AI enhancing prefabricated aesthetics and low carbon coupled with 3D printing in chain hotel buildings from multidimensional neural networks by Gangwei Cai, Yin Lou, Feidong Lu

“…Abstract There are approximately 70,000 economy chain hotels worldwide, generating about 300 million tons of carbon dioxide annually. While reducing carbon emissions can lower energy consumption, these hotels must also continually attract guests to ensure revenue growth and achieve sustainable development. …”
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Efficacy of cognitive rehabilitation in cognition and brain networks: A randomised clinical trial in patients with multiple sclerosis by E. Lopez-Soley, E. Martinez-Heras, F. Vivo, A. Calvi, S. Alba-Arbalat, L. Romero-Pinel, S. Martínez-Yélamos, C. Ramo-Tello, S. Presas-Rodríguez, E. Munteis, J.E. Martínez-Rodríguez, J. Sastre-Garriga, E. Anglada, E.R. Meza-Murillo, M.J. Arévalo, R. Sánchez-Carrión, R. Pelayo, M. Bernabeu, N. Sola-Valls, M. Hervas, M. Sepulveda, A. Saiz, Y. Blanco, E. Solana, S. Llufriu

“…Patients with severe-CI (n = 36) showed improvement only with active treatment, while those with mild-CI (n = 34) improved regardless of intensity treatment. …”
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