Hybrid Artificial Neural Network Activation Function to Reduce Water Wastage in Agricultural Irrigation by Baraa H. Jawad, Ola A. Alwesabi, Nibras Abdullah, Ahmed Abed Mohammed

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Enhancing wearable sensor data analysis for patient health monitoring using allied data disparity technique and multi instance ensemble perceptron learning by Mohd Anjum, Waseem Ahmad, Sana Shahab, Ashit Kumar Dutta, Ali Elrashidi, Amr Yousef, Zaffar Ahmed Shaikh

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MF-Ledger: Blockchain Hyperledger Sawtooth-Enabled Novel and Secure Multimedia Chain of Custody Forensic Investigation Architecture by Abdullah Ayub Khan, Mueen Uddin, Aftab Ahmed Shaikh, Asif Ali Laghari, Adil E. Rajput

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Enhancing Bounding Box Regression for Object Detection: Dimensional Angle Precision IoU-Loss by Hilmy Aliy Andra Putra, Aniati Murni Arymurthy, Dina Chahyati

“…Bounding Box Regression (BBR) plays a critical role in object detection by refining the predicted location and size of objects to enhance model accuracy. This process involves adjusting the coordinates of the proposed bounding boxes to enhance their precision. …”
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Effects of Hydrogen Dissociation During Gas Flooding on Formation of Metal Hydride Cluster Ions in Secondary Ion Mass Spectrometry by Jernej Ekar, Sabina Markelj, Miran Mozetič, Rok Zaplotnik, Janez Kovač

“…Cluster ions presumably form during the recombination of the atoms and molecules from the sample and atoms and molecules adsorbed from the gas. This process occurs on the surface or just above it during the sputtering process. …”
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A Real-Time Spine Orthopedic System Based on Bluetooth Low Energy and Internet of Things by Kun Xia, Ruifeng Hou, Junlin Yang, Xiang Li

“…IoT integrated with cloud servers and terminal applications allows the real-time monitoring process of spinal orthopedics. The digital linear actuator in the device can stretch through program control, in order to realize the accurate control of spinal orthopedic process. …”
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Grid resource data differentiation standard based on CIM model by Fupeng Li, Wenyuan Bai, Shaobo Liu, Yiming Zhang, Mingkang Guo

“…Abstract Aiming at the problem of differential data processing of power grid resources, this paper puts forward a power grid data processing method based on Common Information Model (CIM) model. …”
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Vrijevormarchitectuur by Walter Lockefeer

“…What is the role of the designer and what is the role of the computer in the design and drawing process? What recognisable steps have taken place in the development from the analogue design and drawing process to the digital design and drawing process? …”
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A Comparative Study of Machine Learning Techniques for Predicting Mechanical Properties of Fused Deposition Modelling (FDM)-Based 3D-Printed Wood/PLA Biocomposite by Prashant Anerao, Atul Kulkarni, Yashwant Munde, Namrate Kharate

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Accurate detection of critical LLFs and LGFs in PV arrays based on deep reinforcement learning using proximal policy optimization (PPO) by Sherko Salehpour, Aref Eskandari, Amir Nedaei, Mohammad Gholami, Mohammadreza Aghaei

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Absorption Ångström Exponent Values to Identify Light-absorbing Carbonaceous Aerosol Sources in Blantyre, Malawi by Saloni Vijay, Lars Schöbitz, Hope Kelvin Chilunga, Elizabeth Tilley

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Development and optimization of a neural network model using genetic algorithm to predict the performance of a packed bed reactor treating sulphate-rich wastewater by Manoj Kumar, Rohil Saraf, Shishir Kumar Behera, Raja Das, Mansi Aliveli, Arindam Sinharoy, Eldon R. Rene, Ravi Krishnaiah, Kannan Pakshirajan

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On the parametric analytics to investigate hole quality characteristics during helical milling of carbon fiber reinforced plastics stacks by Mehdi Tlija, Nimra Naeem, Mohammad Pervez Mughal, Kiran Mughal, Saad Ullah, Muhammad Sana, Anamta Khan

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Experimental investigation of solar PVT collector with the dryer on mass and temperature of dried red chili with Machine Learning Models by Miroslav Mahdal, K. Rajathi, Muniyandy Elangovan, Prabhukumar Sellamuthu, Amit Verma

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DIAGNOSING METHOD OF SPECIFIC FAULTS’ IDENTIFYING OF GASOLINE ENGINES WITH FUEL INJECTION by G. G. Musayelyants, E. A. Pavlenko, D. K. Sysoyev

“…Diagnosis of car engines and systems is a complex and high-tech process. In fact, the simplest procedure of diagnostics’ process is the error status code determination from the electronic control memory unit by using the diagnostic scanner. …”
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Smart manufacturing system with rework and partial outsourcing for battery industry by Ritu Arora, Divya Chauhan, Anubhav Pratap Singh, Anu Sayal

“…This study introduces an advanced manufacturing inventory system that considers scheduled backorders and the reworking process of imperfect batteries detected during inspection. …”
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Features of distillation separation of multicomponent mixtures by A. K. Frolkova, A. V. Frolkova, V. M. Raeva, V. I. Zhuchkov

“…Objectives. To improve the process of developing energy-efficient flowsheets for the distillation separation of multicomponent aqueous and organic mixtures based on a comprehensive study of the phase diagram structures, including those in the presence of additional selective substances.Methods. …”
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Variable-Parameter Impedance Control of Manipulator Based on RBFNN and Gradient Descent by Linshen Li, Fan Wang, Huilin Tang, Yanbing Liang

“…During the interaction process of a manipulator executing a grasping task, to ensure no damage to the object, accurate force and position control of the manipulator’s end-effector must be concurrently implemented. …”
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A Community Effort to Develop Common Data Elements for Pre-Clinical Spinal Cord Injury Research by Britt A. Fedor, Abel Torres-Espin, Romana Vavrek, Maryann E. Martone, John L. Bixby, John C. Gensel, Vance Lemmon, Jeffrey S. Grethe, J. Russel Huie, Adam R. Ferguson, Karim Fouad

“…For nearly 350 years, the process of disseminating scientific knowledge has remained largely unchanged. …”
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A novel caputo fractional model for english language learning: Analysis and simulation with bayesian regularization approach by Maria, Aqsa Zafar Abbasi, Muhammad Asif Zahoor Raja, Kottakkaran Sooppy Nisar, Muhammad Shoaib

“…This model creates a strong foundation for examining language acquisition behaviors by including the learning process within the system. The proposed work not only presents an innovative discrete fractional model but also leverages machine learning techniques to estimate and analyze the learning process over time.To achieve numerical accuracy and stability, we employ Bayesian Regularization Artificial Neural Networks (BRA-NNs) as a machine learning-based computational solver. …”
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