Versatile waste sorting in small batch and flexible manufacturing industries using deep learning techniques by Arso M. Vukicevic, Milos Petrovic, Nebojsa Jurisevic, Marko Djapan, Nikola Knezevic, Aleksandar Novakovic, Kosta Jovanovic

“…Such a pipeline brings two key advantages that make it more applicable in industry practice by: 1) eliminating the necessity for developing dedicated waste detection and segmentation algorithms for waste object localization, and 2) significantly reducing the time and costs required for adapting the solution to different use cases. …”
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Effortless alkalinity analysis using AI and smartphone technology, no equipment needed, from freshwater to saltwater by Zachary Y. Han, Zihan Zheng, Alan Y. Han, Huichun Zhang

“…After examining the effects of container type, lighting condition, ML algorithms, and sample size, we obtained the best models with R2 values of 0.868 ± 0.024 and 0.978 ± 0.008, and root-mean-square-error values of 29.5 ± 2.6 and 14.1 ± 2.0 for freshwater and saltwater, respectively. …”
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Developing a Fire Monitoring System Based on MQTT, ESP-NOW, and a REM in Industrial Environments by Miracle Udurume, Taewoong Hwang, Raihan Uddin, Toufiq Aziz, Insoo Koo

“…Future work will focus on enhancing the anomaly detection model for greater accuracy, expanding scalability through additional communication protocols, like LoRaWAN, and incorporating adaptive algorithms for real-time network optimization.…”
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DGFEG: Dynamic Gate Fusion and Edge Graph Perception Network for Remote Sensing Change Detection by Shengning Zhou, Genji Yuan, Zhen Hua, Jinjiang Li

“…Benefiting from continuous innovations in deep learning algorithms, the accuracy of building change detection (BCD) in remote sensing (RS) has significantly improved. …”
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Deep Learning Model for CS-Based Signal Recovery for IRS-Assisted Near-Field THz MIMO System by Vaishali Sharma, Prakhar Keshari, Sanjeev Sharma, Kuntal Deka, Ondrej Krejcar, Vimal Bhatia

“…Simulation results for symbol error rate (SER) and normalized mean square error (NMSE) performance indicate that the proposed DL-based receiver outperforms conventional recovery algorithms based on orthogonal matching pursuit (OMP) CS-recovery and dictionary-shrinkage estimation (DSE).…”
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Heuristic Forest Fire Detection Using the Deep Learning Model with Optimized Cluster Head Selection Technique by Sengottaiyan N., Ananthi J., Rajesh Sharma R., Hamsanandhini S., Sungheetha Akey, Chinnaiyan R., Ketema Adare Gemeda

“…The major goal is to augment the accuracy and efficiency of forest fire prediction, leveraging the capabilities of advanced machine learning algorithms and optimized sensor network management. …”
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Advancing UAV Communications: A Comprehensive Survey of Cutting-Edge Machine Learning Techniques by Chenrui Sun, Gianluca Fontanesi, Berk Canberk, Amirhossein Mohajerzadeh, Symeon Chatzinotas, David Grace, Hamed Ahmadi

“…Finally, the use of state-of-the-art ML algorithms in these capabilities is explored and their potential extension to cloud and/or edge computing based network architectures is highlighted.…”
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Exploring the feasibility of near-infrared spectroscopy in analyzing and predicting the chemical and biochemical changes of chitin-amended soils by Ken Abamba Omwange, Ana Chen, Renfu Lu, Carly Daiek, Julie Celini, Yan Liu

“…This study demonstrates the potential of NIR  spectroscopy coupled with partial least squares algorithms as a rapid, cost-effective method for estimating soil biochemical properties. …”
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Optimal reception of multiple phase shift keying and quadrature amplitude modulation signals with non-coherent processing of harmonic interference by G. V. Kulikov, T. T. Do, A. A. Lelyukh, V. D. Nguyen

“…Therefore, the development of algorithms for compensating the influence of such forms of interference is an urgent task. …”
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Oilpalm-RTMDet: An lightweight oil palm detector base on RTMDet by Jirong Ding, Runlian Huang, Yehua Liang, Xin Weng, Jianjun Chen, Haotian You

“…However, due to the varying sizes of oil palm crowns, diverse tree shapes, and the frequent overlap of adjacent crowns, existing algorithms often struggle to achieve precise individual tree recognition and accurate counting. …”
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Overview of Solar Photovoltaic MPPT Methods: A State of the Art on Conventional and Artificial Intelligence Control Techniques by Debabrata Mazumdar, Chiranjit Sain, Pabitra Kumar Biswas, P. Sanjeevikumar, Baseem Khan

“…Many maximum power point tracking algorithms (MPPTs) that are employed in photovoltaic systems (PVSs) that function under both uniform and partial shade situations are structurally summarized in this work. …”
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Breast mass classification based on supervised contrastive learning and multi‐view consistency penalty on mammography by Lilei Sun, Jie Wen, Junqian Wang, Zheng Zhang, Yong Zhao, Guiying Zhang, Yong Xu

“…In this paper, A novel classification algorithm based on Convolutional Neural Network (CNN) is proposed to improve the diagnostic performance for breast cancer on mammography. …”
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Validity of Accelerometers for the Evaluation of Energy Expenditure in Obese and Overweight Individuals: A Systematic Review by Silvia Pisanu, Andrea Deledda, Andrea Loviselli, Inge Huybrechts, Fernanda Velluzzi

“…Most accelerometer estimations of EE were inaccurate for obese/overweight subjects, and authors advise to improve the accuracy of algorithms for SWA software, or the predicted equations for estimating EE from other accelerometers.…”
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Forecasting the Applied Deep Learning Tools in Enhancing Food Quality for Heart Related Diseases Effectively: A Study Using Structural Equation Model Analysis by Sunil L. Bangare, Deepali Virmani, Girija Rani Karetla, Pankaj Chaudhary, Harveen Kaur, Syed Nisar Hussain Bukhari, Shahajan Miah

“…The researchers have identified that critical algorithms like CART support the predictability of the disease by 93.3% whereas the conventional models possess vert less specificity. …”
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The impact of digital technologies on modern society. An example of a social credit rating system in China by A. P. Klimovich

“…It has been noted that despite the fact that the basic ideas for the system are borrowed from the international practice of the financial sector, making decisions on authorizing going beyond the judicial system and transferring the classification of people in the lists of good and bad to the level of algorithms run counter to the principles of European and international law.…”
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UAV Collision Avoidance in Unknown Scenarios with Causal Representation Disentanglement by Zhun Fan, Zihao Xia, Che Lin, Gaofei Han, Wenji Li, Dongliang Wang, Yindong Chen, Zhifeng Hao, Ruichu Cai, Jiafan Zhuang

“…Experimental results demonstrate that our technique achieves reliable navigation and effective collision avoidance in unseen scenarios, surpassing state-of-the-art deep reinforcement learning algorithms.…”
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A review of hyperspectral image analysis techniques for plant disease detection and identif ication by A. F. Cheshkova

“…The review describes the main steps of the hyperspectral data analysis process: image acquisition and preprocessing; data extraction and processing; modeling and analysis of data. The algorithms and methods applied at each step are mainly summarized. …”
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The clinical application of artificial intelligence in cancer precision treatment by Jinyu Wang, Ziyi Zeng, Zehua Li, Guangyue Liu, Shunhong Zhang, Chenchen Luo, Saidi Hu, Siran Wan, Linyong Zhao

“…Observations By collecting and integrating large volumes of data and applying it to clinical tasks across various algorithms and models, artificial intelligence plays a significant role in cancer precision medicine. …”
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Machine learning techniques for predicting neurodevelopmental impairments in premature infants: a systematic review by Arantxa Ortega-Leon, Daniel Urda, Ignacio J. Turias, Simón P. Lubián-López, Simón P. Lubián-López, Isabel Benavente-Fernández, Isabel Benavente-Fernández, Isabel Benavente-Fernández

“…In addition, we explore the potential of ML algorithms and discuss commonly used data sources, including clinical and neuroimaging data. …”
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Early Diagnosis of Alzheimer’s Disease Using Adaptive Neuro K-Means Clustering Technique by Karan Kumar, Shweta Agrawal, Isha Suwalka, Celestine Iwendi, Cresantus N. Biamba

“…Classification is performed using various algorithms, evaluated on sensitivity, accuracy, precision, and similarity metrics. …”
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