AI-Driven Insect Detection, Real-Time Monitoring, and Population Forecasting in Greenhouses by Dimitrios Kapetas, Panagiotis Christakakis, Sofia Faliagka, Nikolaos Katsoulas, Eleftheria Maria Pechlivani

“…The ARIMAX model performed best with a Mean Square Error (MSE) of 75.61, corresponding to an average deviation of 8.61 insects per day between predicted and actual insect counts. …”
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Applications of artificial intelligence for clusters analysis of Uranium decay via a fractional order discrete model by Hasib Khan, Jehad Alzabut, D.K. Almutairi

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System Development for Liquid Chemicals Point Injection Based on Convolutional Neural Network Models by V. S. Semenyuk, E. A. Nikitin

“…They proposed a system of liquid chemicals point application. They identified the possibility of calculating the required amount of fertilizers and protective equipment. …”
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Utilization of aspen DMC3 in process control of crude distillation unit (CDU) by Bol Ram, Z Ahmad, N Md Nor

“…This study investigates the application of Dynamic Matrix Control (DMC), a subset of Model Predictive Control (MPC), using Aspen DMC3 for CDU process control—a novel implementation not previously explored. …”
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GeaGrow: a mobile tool for soil nutrient prediction and fertilizer optimization using artificial neural networks by Olusegun Folorunso, Oluwafolake Ojo, Mutiu Busari, Muftau Adebayo, Joshua Adejumobi, Daniel Folorunso, Femi Ayo, Orobosade Alabi, Olusola Olabanjo

“…Even when aware, they struggle to interpret soil information, leading to improper fertilizer application, which can degrade soil and ground water quality. …”
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Lattice Surgery for Dummies by Avimita Chatterjee, Subrata Das, Swaroop Ghosh

“…This field has seen significant advancements, with new quantum error correction codes emerging regularly to address errors effectively. …”
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Improved Hermite–Hadamard Inequality Bounds for Riemann–Liouville Fractional Integrals via Jensen’s Inequality by Muhammad Aamir Ali, Wei Liu, Shigeru Furuichi, Michal Fečkan

“…The use of the Jensen–Mercer inequality for general points to prove the refined bounds is a very interesting finding of this work, because it simultaneously generalizes many existing results in fractional and classical calculus. The application of these new results is demonstrated through error analysis of numerical integration formulas. …”
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First Clinical Results of Modular Intraocular Lens Implantation by E. N. Batkov, T. F. Artemyeva, N. P. Pashtayev, N. A. Pozdeyeva

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Reliability Express Control of the Gate Dielectric of Semiconductor Devices by V. A. Solodukha, G. G. Chigir, V. A. Pilipenko, V. A. Filipenya, V. A. Gorushko

“…Thermal treatment of the initial silicon wafers and gate dielectric makes it possible to expand the error-free running time up to 25.2 years, i.e.1.89 times more, than in the standard process of the pyrogenic oxidation and 1.5 times more, than under application of the rapid thermal treatment of the initial silicon wafers only.…”
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Square Root Compression and Noise Effects in Digitally Transformed Images by Craig E. DeForest, Chris Lowder, Daniel B. Seaton, Matthew J. West

“…We report on a particular example of noise and data representation interacting to introduce systematic error into scientific measurements. Many instruments collect integer digitized values and apply nonlinear coding, in particular square root coding, to compress the data for transfer or downlink; this can introduce surprising systematic errors when they are decoded for analysis. …”
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A Self-Evaluated Bilingual Automatic Speech Recognition System for Mandarin–English Mixed Conversations by Xinhe Hai, Kaviya Aranganadin, Cheng-Cheng Yeh, Zhengmao Hua, Chen-Yun Huang, Hua-Yi Hsu, Ming-Chieh Lin

“…The mixed error rate (MER) is used as a performance metric, and a workflow is outlined for its calculation using the edit distance algorithm. …”
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The application of blockchain with a comparative approach and its impact on risk, flexibility and internal control evaluation by mohammadsadegh aminipoor, HamidReza GholamniaRoshan, azadeh kiapour, Iman Dadashi

“…Abstract The purpose of the current research is the application of blockchain with a comparative approach of its effect on risk, flexibility and evaluation of internal control. …”
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Time Series Forecasting Using Holt-Winters Exponential Smoothing: Application to Abaca Fiber Data by Mary Pleños

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Application of Machine Learning for Methanolysis of Waste Cooking Oil Using Kaolinite Geopolymer Heterogeneous Catalyst by Pascal Mwenge, Hilary Rutto, Tumisang Seodigeng

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Bayesian model parameter learning in linear inverse problems: application in EEG focal source imaging by Alexandra Koulouri, Ville Rimpiläinen

“…An error subspace was spanned with the help of the eigenvectors of the approximation error covariance matrix which allowed, alongside the primary signal, simultaneous estimation of the induced error. …”
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Neural Learning Control of Flexible Joint Manipulator with Predefined Tracking Performance and Application to Baxter Robot by Min Wang, Huiping Ye, Zhiguang Chen

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Scheme of Recent Advances in the Field of Accounting and Economics: Application of Macro Accounting Theory in Economic Forecasting by Vahid Bekhradi Nasab, Ehsan Kamali, Khadije Ebrahimi Kahrizsangi

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Multiband THz MIMO antenna with regression machine learning techniques for isolation prediction in IoT applications by Md Ashraful Haque, Kamal Hossain Nahin, Jamal Hossain Nirob, Md. Kawsar Ahmed, Narinderjit Singh Sawaran Singh, Liton Chandra Paul, Abeer D. Algarni, Mohammed ElAffendi, Ahmed A. Abd El-Latif, Abdelhamied A. Ateya

“…Various metrics, including variance score, R-squared, mean squared error (MSE), mean absolute error (MAE), and root mean square error (RMSE), were used to evaluate the machine learning models. …”
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Haavikko’s technique for dental age estimation: Brazilian application and technique variation at the age of 10 years by Isabella de Lima Silva, Brendha Ogando, Rosemary Sadami Arai Shinkai, Cláudio Costa, Hrvoje Brkić, Edgard Michel-Crosato, Maria Gabriela Haye Biazevic

“…Conclusions We conclude that the technique is replicable and can be applied with a low error rate in the Brazilian population.…”
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Prediction of Rice Yields in a Changing Climate Using the Mobile Rice Yield Prediction Application by Mohamad Farhan Mohamad Mohsin, Mohamad Ghozali Hassan, Kamal Imran Mohd Sharif, Mohd Azril Ismail, Liew Jun Hong, Muhammad Khalifa Umana, Hairazi Rahim@Abdul Rahim

“…A 10-year dataset from the Malaysian Meteorological Department (MetMalaysia) and the Department of Statistics Malaysia (DOA) were trained and tested on varying data splits and then evaluated using performance metrics such as R-squared, Mean Absolute Error, Mean Square Error, and Root Mean Square Error. …”
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