A Low Power Memory-Integrated Hardware BNN-MLP Model on an FPGA for Current Signals in a Biosensor by Geon-Hoe Kim, Dong-Gyun Kim, Sung-Jae Lee, Jong-Han Kim, Da-Yeong An, Hyejin Kim, Young-Gun Pu, Heejeong Jasmine Lee, Jun-Eun Park, Kang-Yoon Lee

“…This paper presents a method for processing and digitizing the current signal information output from biosensors and a hardware Artificial Intelligence (AI) model design that classifies data using low-power and compact AI algorithms to minimize the high-power consumption and on chip area of the Convolutional Neural Network (CNN) models used in biosensors. …”
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4 mJ Rectangular- Envelope GHz-Adjustable Burst-Mode Fiber-Bulk Hybrid Laser and Second-Harmonic Generation by Xuan He, Bin Zhang, Chuan Guo, Linyong Yang, Jing Hou

“…Also, the pre-compensation for rectangular burst envelope is investigated by iteration method. Type I, non-critical phase matching lithium borate (LBO) is employed for second-harmonic generation and 1.8 mJ burst energy is achieved, corresponding to a conversion efficiency of 45%. …”
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Notice of Violation of IEEE Publication Principles: Reversible Data Hiding and Smart Multimedia Computing Using Big Data in Remote Sensing Systems by Rahul Malik, Aditya Khamparia, Sahil Garg, Deepak Gupta, Bong Jun Choi, M. Shamim Hossain

“…Such big data systems have to offer effective management and computational efficiency for applications in real-time. In this paper, we propose a large-scale geological processing method for aerial Light Detection and Ranging (LiDAR) clouds containing multimedia data that ensures mobility and timeliness. …”
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Active Reconfigurable Intelligent Surfaces: Circuit Modeling and Reflection Amplification Optimization by Panagiotis Gavriilidis, Deepak Mishra, Besma Smida, Ertugrul Basar, Chau Yuen, George C. Alexandropoulos

“…This characterization of our active RIS unit elements is incorporated into two novel optimization frameworks targeting the spectral efficiency maximization of RIS-assisted Multiple-Input-Multiple-Output (MIMO) systems, which are solved via a one-step approach and an iterative Alternating Optimization (AO) method. …”
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The dynamic theoretical analysis of performance characteristics for open-cycle absorption energy storage system using HCOOK-H2O as the working fluid under full and partial mode by Yaqi Ding, Qingpu Li, Bicui Ye, Muhammad Kashif Shahzad, Neng Gao, Guangming Chen

“…The open absorption energy storage system with the configuration of a single storage space proposed in the article can realize the energy storage function without changing the original heat pump configuration and can achieve continuous and stable output. A dynamic calculation model utilizing Euler's method was established for the absorption energy storage system, and theoretical calculations were carried out for both partial and full energy storage modes based on different ratios of condensate vapor flow rates to absorption vapor flow rates. …”
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Optimizing greenhouse microclimate for plant pathology: challenges and cooling solutions for pathogen control in arid regions by Abdulmujib G. Yusuf, Fahad A. Al-Yahya, Amgad A. Saleh, Ahmed M. Abdel-Ghany

“…Crop production using greenhouse technology has become increasingly essential for intensifying agricultural output, particularly in regions with challenging climatic conditions. …”
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Precision optimization of reactive squeezing flow in stratified fluids: A response surface exploration by Anum Shafiq, Tabassum Naz Sindhu, Muhammad Ahmad Iqbal

“…The non-linear governing system is solved numerically using the Runge–Kutta fourth-order method (RK-4) combined with the shooting technique. …”
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Performance comparison of monocrystalline and polycrystalline photovoltaic modules before testing with a cooling system by Toto Supriyono, Ghazali Omar, Noreffendy Tamaldin, Priyono Soetikno, Muhammad Rizki Sumartono, Angesta Romano, Mohamad Yamin

“…However, the average performance of the PVM was not significantly different based on the independent samples t-test method.…”
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Research on Data Transmission of Laser Sensors for Reading Ruler by Bailin Fan, JianWei Zhao, Rong Wang, Chen Lei, XiaoWu Li, ChaoYang Sun, Dazhi Zhang

“…The application scenarios and encoding characteristics of each encoding method are summarized in this paper. Hybrid encoding combines the advantages of two different encoding methods, absolute and incremental encoding, to achieve higher accuracy and stability. …”
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Causally-Aware Reinforcement Learning for Joint Communication and Sensing by Anik Roy, Serene Banerjee, Jishnu Sadasivan, Arnab Sarkar, Soumyajit Dey

“…The next-generation wireless network, 6G and beyond, envisions to integrate communication and sensing to overcome interference, improve spectrum efficiency, and reduce hardware and power consumption. …”
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Passenger Flow Impact Analysis of Express/Local Train Operation Plans for Urban Rapid Rail Transit Line Based on VISUM Software by WANG Chaoyu, TANG Qing, CHEN Hongbing, HE Hongjie

“…Using VISUM software, a timetable-based passenger flow assignment model is established to output passenger flow indicators for the express/local train operation plan. …”
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Enhancing Process Control in Agriculture: Leveraging Machine Learning for Soil Fertility Assessment by Ashutosh Sarangi, Sailesh Kumar Raula, Sohamdev Ghoshal, Swadhin Kumar, Chinta Sai Kumar, Neelamadhab Padhy

“…The provision of soil data is mandatory since it will significantly influence the determination of the soil’s fertility. The output and accuracy of the model may suffer if the data are not supplied discretely. …”
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Techno-economic assessment of repurposing oil & gas wells for Enhanced Geothermal Systems: A New Mexico, USA feasibility study by Bryan Higgins, Lincoln Pratson, Dalia Patiño-Echeverri

“…The modeled Levelized Cost of Electricity of the repurposed EGS projects was 31–70 % lower than that of identical projects using newly drilled wells at the same locations, with the most cost-effective projects having the highest number of wells that can be clustered for higher power output. A major reason for the relatively low number of suitable wells is that oil and gas reservoirs are typically located in cooler geothermal systems, constraining harvestable energy and conversion efficiencies. …”
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AI and Data Analytics in the Dairy Farms: A Scoping Review by Osvaldo Palma, Lluis M. Plà-Aragonés, Alejandro Mac Cawley, Víctor M. Albornoz

“…Among the most important results, we found that (i) the identified studies are relatively recent with an average publication time of 5.95 years; (ii) the scope of the selected studies is mostly concentrated on milk and prediction (29%), early detection of lameness (26%), and timely detection of mastitis (13%); (iii) the type of analysis is mostly predictive (87%), and prescriptive is barely present (3%); (iv) the types of input data used in the studies are preferably historical (70%), and real-time data (25%) are used less frequently; (v) we found that the method of artificial neural networks (47%) and the convolutional neural networks (24%) are the most used for the studies regarding bovine milk output predictions. …”
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A computational investigation on the total cavopulmonary connection circulation assisted by an axial flow pump by Can Jin, Xudong Liu, Yong Wu, Shengzhang Wang, Shengzhang Wang, Junming Zhu

“…The virtual implantation of blood pumps into the real TCPC structure to analyze the output characteristics of blood pump and flow pattern can better guide design of the pump and the formulation of powered Fontan surgical protocols.MethodWe used computational fluid dynamics (CFD) to explore the power assistance effect of an axial flow blood pump when it was virtually implanted in the real TCPC structures of patients with Fontan circulation and analyzed the differences between constant-speed pumps and variable-speed pumps.ResultsNumerical simulation results showed that the implantation of the blood pump increases pulmonary circulation blood flow by 32.6%, significantly improving the uneven distribution of flow in the left and right pulmonary arteries (the left/right pulmonary artery flow ratio improved from 1:1.8 to 1:1.2). …”
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Comparison of Performance of Photodiodes with Different Active Areas Using Acrylic and Quartz Cuvettes for Spectrophotometry in Direct Measurements of Glucose in Water and Human Bl... by Victor De La Cruz Cortes, Kristian Segura Félix, Francisco Gerardo Flores García, Mario Francisco Jesús Cepeda Rubio

“…This glucometry system is based on the employ of an infrared LED with a wavelength of 1650 nm, a beam angle of 16°, and an output power of 1.6 mW that passes through the analyte (glucose in blood plasma) that is contained in cuvettes of different materials (acrylic and quartz) to subsequently affect a photodiode with different active areas ranging from 0.06 mm to 1.5 mm in order to evaluate the efficiency by comparing the sensitivity in the presence of glucose making additions ranging 100 mg/dl–1000 mg/dl within a dark chamber. …”
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Side-Illuminating Optical Fiber for High-Power-Density-Mediated Intraluminal Photoacoustic Imaging by Nidhi Singh, Carlos-Felipe Roa, Emmanuel Chérin, Lothar Lilge, Christine E. M. Demore

“…A side-fire to total output ratio of up to 0.69 and a side fire efficiency of up to 40%, relative to a standard front-fire fiber, were achieved. …”
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Processing of retransmitted GPS signals in the problem of measuring the total electron content in the ionosphere by Y. A. Kapliarchuk, S. V. Kozlov, I. E. Savinykh, A. S. Shapkin

“…Objectives. For a method for estimating the total electron content in the ionosphere based on the retransmission of the L1 GPS navigation signal by a repeater nanosatellite (SR) to the frequencies of 150/400 MHz allocated for geophysical research and their reception at a ground-based receiving point (RP), it is necessary to develop the algorithms for coherent accumulation of received relayed signals and measurement of the difference between their delays at observation intervals up to a few seconds.Methods. …”
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Cross-Year Rapeseed Yield Prediction for Harvesting Management Using UAV-Based Imagery by Yanni Zhang, Yaxiao Niu, Zhihong Cui, Xiaoyu Chai, Lizhang Xu

“…Accurate estimation of rapeseed yield is crucial for harvesting decisions and improving efficiency and output. Machine learning (ML) models driven by remote sensing data are widely used for yield prediction. …”
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Developing a novel approach for passive damped LCL filter and controller parameter design using PSO algorithm in VSC-based islanded microgrids by Yared Bekele Beyene, Getachew Biru Worku, Lina Bertling Tjernberg

“…Unlike conventional offline methods, this study employs a simulation-based online optimization framework, integrating PSO within SIMULINK environment for dynamic, iterative adjustments, enhancing adaptability and efficiency. …”
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