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Artykuły w czasopismach na temat „Sigmoid logistic map”

Autor: Grafiati
Data publikacji: 2 czerwca 2025
Data aktualizacji: 31 lipca 2025

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1

Mfungo, Dani Elias, Xianping Fu, Xingyuan Wang, and Yongjin Xian. "Enhancing Image Encryption with the Kronecker xor Product, the Hill Cipher, and the Sigmoid Logistic Map." Applied Sciences 13, no. 6 (2023): 4034. http://dx.doi.org/10.3390/app13064034.

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In today’s digital age, it is crucial to secure the flow of information to protect data and information from being hacked during transmission or storage. To address this need, we present a new image encryption technique that combines the Kronecker xor product, Hill cipher, and sigmoid logistic Map. Our proposed algorithm begins by shifting the values in each row of the state matrix to the left by a predetermined number of positions, then encrypting the resulting image using the Hill Cipher. The top value of each odd or even column is used to perform an xor operation with all values in the corr
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McDowall, Lachlan M., and Roger A. L. Dampney. "Calculation of threshold and saturation points of sigmoidal baroreflex function curves." American Journal of Physiology-Heart and Circulatory Physiology 291, no. 4 (2006): H2003—H2007. http://dx.doi.org/10.1152/ajpheart.00219.2006.

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The logistic sigmoid function curve provides an accurate description of the baroreflex input-output relationship and is the most commonly used equation for this purpose. The threshold (Thr) and saturation (Sat) values for the baroreflex are commonly defined as the values of mean arterial pressure (MAP) at which the reflexly controlled variable (e.g., heart rate or sympathetic nerve activity) is within 5% of the upper or lower plateau, respectively, of the sigmoid function. These values are referred to here as Thr5% and Sat5%. In many studies, Thr and Sat are calculated with the equations Thr =
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Ahmad, Zeeshan, Zain ul Abidin Jaffri, Shu-Di Bao, and Meng Chen. "Frequency diverse array radar with non-uniform array spacing based on sigmoid function." Journal of Electrical Engineering 73, no. 1 (2022): 36–42. http://dx.doi.org/10.2478/jee-2022-0005.

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Abstract As a widely recognized electronic beam steering concept, frequency diverse array (FDA) radar is an effective and feasible solution to provide beam scanning ability in both angle as well as range dimension as a function of time. However, the conventional FDA radar employing progressive incremental frequency offsets across the array elements generates an S-shaped and range-angle coupled beampattern. As such, the FDA beampattern can be decoupled into range-angle dimensions by employing non-linear frequency offsets or using non-uniform arrays. Frequency offsets design has been extensively
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Gu, He, Min Lin, Jianyu Liu, et al. "Selective impairment of central mediation of baroreflex in anesthetized young adult Fischer 344 rats after chronic intermittent hypoxia." American Journal of Physiology-Heart and Circulatory Physiology 293, no. 5 (2007): H2809—H2818. http://dx.doi.org/10.1152/ajpheart.00358.2007.

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Baroreflex control of heart rate (HR) is impaired after chronic intermittent hypoxia (CIH). However, the location and nature of this response remain unclear. We examined baroreceptor afferent, vagal efferent, and central components of the baroreflex circuitry. Fischer 344 (F344) rats were exposed to room air (RA) or CIH for 35–50 days and were then anesthetized with isoflurane, ventilated, and catheterized for measurement of mean arterial blood pressure (MAP) and HR. Baroreceptor function was characterized by measuring percent changes of integrated aortic depressor nerve (ADN) activity (Int AD
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Vitela, M., M. Herrera-Rosales, J. R. Haywood, and S. W. Mifflin. "Baroreflex regulation of renal sympathetic nerve activity and heart rate in renal wrap hypertensive rats." American Journal of Physiology-Regulatory, Integrative and Comparative Physiology 288, no. 4 (2005): R856—R862. http://dx.doi.org/10.1152/ajpregu.00620.2004.

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Despite its usefulness as a nongenetic model of hypertension, little information is available regarding baroreflex function in the Grollman, renal wrap model of hypertension in the rat. Baroreflex regulation of renal sympathetic nerve activity (RSNA) and heart rate (HR) were studied in male, Sprague-Dawley rats hypertensive (HT) for 1 or 4–6 wk after unilateral nephrectomy and figure-8 ligature around the remaining kidney or normotensive (NT) after sham surgery. Rats were anesthetized with Inactin and RSNA, and HR was recorded during intravenous infusions of sodium nitroprusside or phenylephri
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6

Ekwok, Stephen E., Ahmed M. Eldosouky, Ubong C. Ben, et al. "An integrated approach of advanced methods for mapping geologic structures and sedimentary thickness in Ukelle and adjoining region (Southeast Nigeria)." Earth Sciences Research Journal 27, no. 3 (2023): 251–58. http://dx.doi.org/10.15446/esrj.v27n3.105868.

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High-resolution aeromagnetic data were enhanced using recent and advanced filters to map the geologic structures of the Ukelle and adjoin region (Southeast Nigeria). Aeromagnetic data were reduced to the equator (RTE) and upward continued to 100 m. Subsequently, enhancement operations like the tilt angle of the horizontal gradient (TAHG), logistic function of the horizontal gradient (LTHG), and fast sigmoid function (FSED) operations were carried out. The results from these filters indicated that the ENE-WSW, NE-SW, NNE-SSW, and NNW-SSE orientations dominate the structural pattern of the Ukell
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Lee, Deuk-Hwan, Yun-Tae Kim, and Seung-Rae Lee. "Shallow Landslide Susceptibility Models Based on Artificial Neural Networks Considering the Factor Selection Method and Various Non-Linear Activation Functions." Remote Sensing 12, no. 7 (2020): 1194. http://dx.doi.org/10.3390/rs12071194.

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Landslide susceptibility mapping is well recognized as an essential element in supporting decision-making activities for preventing and mitigating landslide hazards as it provides information regarding locations where landslides are most likely to occur. The main purpose of this study is to produce a landslide susceptibility map of Mt. Umyeon in Korea using an artificial neural network (ANN) involving the factor selection method and various non-linear activation functions. A total of 151 historical landslide events and 20 predisposing factors consisting of Geographic Information System (GIS)-b
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8

Hussain, Farhan, and Jechang Jeong. "Efficient Deep Neural Network for Digital Image Compression Employing Rectified Linear Neurons." Journal of Sensors 2016 (2016): 1–7. http://dx.doi.org/10.1155/2016/3184840.

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A compression technique for still digital images is proposed with deep neural networks (DNNs) employing rectified linear units (ReLUs). We tend to exploit the DNNs capabilities to find a reasonable estimate of the underlying compression/decompression relationships. We aim for a DNN for image compression purpose that has better generalization property and reduced training time and support real time operation. The use of ReLUs which map more plausibly to biological neurons, makes the training of our DNN significantly faster, shortens the encoding/decoding time, and improves its generalization ab
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9

Doruk, Resat Ozgur, and Laila Abosharb. "Estimating the Parameters of Fitzhugh–Nagumo Neurons from Neural Spiking Data." Brain Sciences 9, no. 12 (2019): 364. http://dx.doi.org/10.3390/brainsci9120364.

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A theoretical and computational study on the estimation of the parameters of a single Fitzhugh–Nagumo model is presented. The difference of this work from a conventional system identification is that the measured data only consist of discrete and noisy neural spiking (spike times) data, which contain no amplitude information. The goal can be achieved by applying a maximum likelihood estimation approach where the likelihood function is derived from point process statistics. The firing rate of the neuron was assumed as a nonlinear map (logistic sigmoid) relating it to the membrane potential vari
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10

Al-Rubaie, Tuqa, Osamah Al-Saadi, and Ahmed Mousa. "Structural Interpretation of Najaf Basin Using the Magnetic and Gravity Data, Central Iraq." Iraqi Geological Journal 58, no. 1B (2025): 14–31. https://doi.org/10.46717/igj.58.1b.2ms-2025-2-10.

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Potential data interpretation is significant for subsurface structure characterization. The current study is an attempt to explore the magnetic low lying between Najaf and Diwaniyah Cities, In central Iraq. It aims to understand the subsurface structures that may result from this anomaly and submit a better subsurface structural image of the region. The study area is situated in the transition zone, known as the Abu Jir Fault Zone. This tectonic boundary is an inherited basement weak zone extending towards the NW-SE direction. Gravity and magnetic data processing and enhancement techniques; To
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11

Lee, Jong S., Don Morrow, Michael C. Andresen, and Kyoung S. K. Chang. "Isoflurane Depresses Baroreflex Control of Heart Rate in Decerebrate Rats." Anesthesiology 96, no. 5 (2002): 1214–22. http://dx.doi.org/10.1097/00000542-200205000-00026.

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Background Isoflurane inhibits baroreflex control of heart rate (HR) by poorly understood mechanisms. The authors examined whether suprapontine central nervous system cardiovascular regulatory sites are required for anesthetic depression. Methods The effects of isoflurane (1 and 2 rat minimum alveolar concentration [MAC]) on the baroreflex control of HR were determined in sham intact and midcollicular-transected decerebrate rats. Intravenous phenylephrine (0.2-12 microg/kg) and nitroprusside (1-60 microg/kg) were used to measure HR responses to peak changes in mean arterial pressure (MAP). Sig
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12

Sumarauw, Sylvia Jane Annatje. "Short-Term Load Forecasting using Artificial Neural Network in Indonesia." ILKOM Jurnal Ilmiah 15, no. 1 (2023): 72–81. http://dx.doi.org/10.33096/ilkom.v15i1.1512.72-81.

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Short-term Load Forecast (STLF) is a load forecasting that is very important to study because it determines the operating pattern of the electrical system. Forecasting errors, both positive and negative, result in considerable losses because operating costs increase and ultimately lead to waste. STLF research in Indonesia, especially the State Electricity Company (PLN Sulselrabar), has yet to be widely used. Methods mainly used are manual and conventional methods because they are considered adequate. In addition, Indonesia's geographical conditions are extensive and diverse, and the electricit
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13

Potts, J. T., X. R. Shi, and P. B. Raven. "Carotid baroreflex responsiveness during dynamic exercise in humans." American Journal of Physiology-Heart and Circulatory Physiology 265, no. 6 (1993): H1928—H1938. http://dx.doi.org/10.1152/ajpheart.1993.265.6.h1928.

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We utilized 5-s changes of neck pressure and neck suction (from 40 to -80 Torr) to alter carotid sinus transmural pressure in seven men with peak oxygen uptake (VO2peak) of 41.4 +/- 3.6 ml O2.kg-1.min-1. Peak responses of heart rate (HR) and mean arterial pressure (MAP) to each carotid sinus perturbation were used to construct open-loop baroreflex curves at rest and during exercise at 25.7 +/- 1.1 and 47.4 +/- 1.9% VO2peak. The baroreflex curves were fit to a logistic function describing the sigmoidal nature of the carotid sinus baroreceptor reflex. Maximal gain for baroreflex control of HR (-
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14

Echavarria-Heras, Héctor A., Cecilia Leal-Ramírez, Guillermo Gómez, and Elia Montiel-Arzate. "Principle of Limiting Factors-Driven Piecewise Population Growth Model I: Qualitative Exploration and Study Cases on Continuous-Time Dynamics." Complexity 2021 (December 27, 2021): 1–24. http://dx.doi.org/10.1155/2021/5623783.

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We examine the comportment of the global trajectory of a piecewisely conceived single species population growth model. Formulation relies on what we develop as the principle of limiting factors for population growth, adapted from the law of the minimum of Liebig and the law of the tolerance of Shelford. The ensuing paradigm sets natality and mortality rates to express through extreme values of population growth determining factor. Dynamics through time occur over different growth phases. Transition points are interpreted as thresholds of viability, starvation, and intraspecific competition. In
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15

Hakimi, Mohd, Madiah Binti Omar, and Rosdiazli Ibrahim. "Application of Neural Network in Predicting H2S from an Acid Gas Removal Unit (AGRU) with Different Compositions of Solvents." Sensors 23, no. 2 (2023): 1020. http://dx.doi.org/10.3390/s23021020.

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The gas sweetening process removes hydrogen sulfide (H2S) in an acid gas removal unit (AGRU) to meet the gas sales’ specification, known as sweet gas. Monitoring the concentration of H2S in sweet gas is crucial to avoid operational and environmental issues. This study shows the capability of artificial neural networks (ANN) to predict the concentration of H2S in sweet gas. The concentration of N-methyldiethanolamine (MDEA) and Piperazine (PZ), temperature and pressure as inputs, and the concentration of H2S in sweet gas as outputs have been used to create the ANN network. Two distinct backprop
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Alig, Annabel H. S., Volker Heinemann, Michael Geissler, et al. "Exact Primary Tumor Location in mCRC: Prognostic Value and Predictive Impact on Anti-EGFR mAb Efficacy." Cancers 14, no. 3 (2022): 526. http://dx.doi.org/10.3390/cancers14030526.

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Primary tumor sidedness (left vs. right) has prognostic and predictive impact on anti-EGFR agent efficacy and thus management of metastatic colorectal cancer (mCRC). This analysis evaluates the relevance of primary tumor location (PTL) in RAS/BRAF wild-type mCRC patients, when dividing the colorectal frame into six segments. This pooled analysis, performed on a single-patient basis of five randomized first-line therapy trials, evaluates the impact of exact PTL classification on baseline characteristics, prognosis and prediction of anti-EGFR antibody efficacy by chi-square and log-rank tests, t
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17

He, Xiao-Rui, Weihua Wang, Joan T. Crofton та Leonard Share. "Effects of 17β-estradiol on the baroreflex control of sympathetic activity in conscious ovariectomized rats". American Journal of Physiology-Regulatory, Integrative and Comparative Physiology 277, № 2 (1999): R493—R498. http://dx.doi.org/10.1152/ajpregu.1999.277.2.r493.

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The effects of chronic treatment with 17β-estradiol on baroreflex control of sympathetic activity were examined in conscious unrestrained ovariectomized rats. Baroreflex function was evaluated by logistic sigmoidal analysis of the relationships between changes in mean arterial pressure (MABP) and changes in heart rate (HR) and splanchnic nerve activity (SNA) when MABP was rapidly increased to 150 mmHg by intravenous phenylephrine after its reduction to 50 mmHg by intravenous nitroprusside. These baroreflex function curves were similar in vehicle- and estradiol-treated rats. However, after a 30
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18

Seo, Yeongwan, Daesung Lee, and Jungkee Choi. "Developing and Comparing Individual Tree Growth Models of Major Coniferous Species in South Korea Based on Stem Analysis Data." Forests 14, no. 1 (2023): 115. http://dx.doi.org/10.3390/f14010115.

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Tree growth in Korean red pine (Pinus densiflora, hereafter Pd), Korean white pine (Pinus koraiensis, hereafter Pk), and Japanese larch (Larix kaempferi, hereafter Lk) was modeled using Logistic, Korf, Gompertz, Chapman-Richards, and Weibull equations and stem analysis data from sample trees: 38 trees for Pd, 46 trees for Pk, and 45 trees for Lk. The models were fitted to the total increment of tree size variables, diameter at breast height (DBH), height, basal area, and stem volume, as a function of age. After selecting the best-fit growth function, the current annual increment (CAI) and mean
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Santos, André Luiz Pinto dos, Tiago Alessandro Espínola Ferreira, Cícero Carlos Ramos de Brito, Frank Gomes-Silva, and Guilherme Rocha Moreira. "Proposal for a new non-linear model to describe growth curves." Bioscience Journal 40 (February 15, 2024): e40011. http://dx.doi.org/10.14393/bj-v40n0a2024-68936.

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This study was developed with longitudinal data measurements of Norfolk rabbits from birth to 119 days of age to estimate the average growth curve, with the primary objective of proposing a non-linear model. It also selected the most appropriate sigmoidal model to describe the growth of Norfolk rabbits. The adjustments provided by the logistic, von Bertalanffy, Gompertz, Brody, Richards, and proposed models were compared. The parameters were estimated using the “nls” function of the “stats” package in R software, the least-squares method, and the Gauss-Newton convergence algorithm. The goodnes
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Akula, Baby, K. Indudhar Reddy, N. Divya, and R. S. Parmar. "Advances in rice yield estimation using Neural Networks." Agriculture Association of Textile Chemical and Critical Reviews Journal 10, no. 03 (2022): 64–70. http://dx.doi.org/10.58321/aatccreview.2022.10.03.64.

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Timely and reliable estimation of crop yield is an important dimension in agriculture as it aids in effective and timely policy decisions. Weather is a the most important factor, affecting crop yield in the agricultural domain and rice crop is no exception. The present study has been taken up to identify the effect of weekly weather parameters namely bright sunshine hours, maximum temperature, minimum temperature, morning relative humidity, evening relative humidity, and weekly total rainfall on rice crop yield being an important staple food of India. In order to suggest a suitable neural netw
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Shen, Jianbo, Zongda Hu, Ram P. Sharma, et al. "Modeling Height–Diameter Relationship for Poplar Plantations Using Combined-Optimization Multiple Hidden Layer Back Propagation Neural Network." Forests 11, no. 4 (2020): 442. http://dx.doi.org/10.3390/f11040442.

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Relationship of total height and diameter at breast height (hereafter diameter) of the trees is generally nonlinear, and therefore has complex characteristics, which can be accurately described by the height-diameter model developed using the back propagation (BP) neural network approach. The multiple hidden layered-BP neural network has several hidden layers and neurons, and is therefore considered more appropriate modeling approach compared to the single hidden layered-BP neural network approach. However, the former approach is not widely applied for tree height prediction due to absence of
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Thomas, Hannah Mary T., Jing Zeng, Howard J. Lee, Jr, et al. "Comparison of regional lung perfusion response on longitudinal MAA SPECT/CT in lung cancer patients treated with and without functional tissue-avoidance radiation therapy." British Journal of Radiology 92, no. 1103 (2019): 20190174. http://dx.doi.org/10.1259/bjr.20190174.

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Objective: The effect of functional lung avoidance planning on radiation dose-dependent changes in regional lung perfusion is unknown. We characterized dose-perfusion response on longitudinal perfusion single photon emission computed tomography (SPECT)/CT in two cohorts of lung cancer patients treated with and without functional lung avoidance techniques. Methods: The study included 28 primary lung cancer patients: 20 from interventional (NCT02773238) (FLARE-RT) and eight from observational (NCT01982123) (LUNG-RT) clinical trials. FLARE-RT treatment plans included perfused lung dose constraint
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23

Shchetinin, E. Yu. "ON AUTOMATIC DETECTION OF ANOMALIES IN ELECTROCARDIOGRAMMS WITH GENERATIVE MACHINE LEARNING." Vestnik komp'iuternykh i informatsionnykh tekhnologii, no. 216 (June 2022): 51–59. http://dx.doi.org/10.14489/vkit.2022.06.pp.051-059.

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Anomaly detection is an important area of application of artificial intelligence in various areas of large data analysis, such as computer system security, fraud detection in bank transfers, reliability of computer vision systems and others. The detection of anomalies is also a key task of the analysis of biomedical information, since the violation of the stability of the recognition systems of dangerous diseases based on the analysis of biomedical signals and MRI, CT images, for example, can lead to erroneous diagnosis of patients. One of the main problems in machine learning and data analysi
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Zhang, Fangfang, Luobing Chen, Yiyang Dai, Lei Kou, Peng Ji, and Yuanhong Liu. "Bearing Fault Diagnosis based on Convolution Neural Network with Logistic Chaotic Map." Advanced Theory and Simulations, February 13, 2024. http://dx.doi.org/10.1002/adts.202301090.

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AbstractBearing is the most basic component of motor, and prone to failure. Bearing fault diagnosis is paramount for improving the reliability and safety in motor‐drive systems. Therefore, convolutional neural network (CNN) is proposed with Logistic chaotic map and its corresponding fault diagnosis approach, which can effectively advance the accuracy of bearing fault diagnosis. Specifically, the Logistic chaotic map and Sigmoid function are combined into a non‐monotonic excitation function, which is employed to the full connection layer of the CNN. The proposed chaotic CNN can solve two issues
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Heru, Lestiawan, Rakhmat Sani Ramadhan, Abdussalam, et al. "Improved imperceptible engagement-based 2D sigmoid logistic maps, Hill cipher, and Kronecker XOR product." May 14, 2025. https://doi.org/10.11591/eei.v14i3.8331.

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Image encryption is a crucial facet of secure data transmission and storage, and this study explores the efficacy of combining sigmoid logistic maps (SLM), Hill cipher, and Kronecker's product method in enhancing image encryption processes. The evaluation, conducted on diverse images such as Lena, Rice, Peppers, Cameraman, and Baboon, unveils noteworthy findings. The Lena image emerges as the most successfully encrypted, as evidenced by the lowest mean squared error (MSE) at 92.81 and the highest peak signal-to-noise ratio (PSNR) at 19.43, reflecting superior fidelity and quality preservation.
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Liu, Ruilin, Shaofang Wang, Zeyuan Wang, Xi Gong, Shengao Zhang, and Jiangze Zhou. "A new color image encryption scheme based on DNA sequence operations and novel hyper-chaotic system." Physica Scripta, December 17, 2024. https://doi.org/10.1088/1402-4896/ada098.

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Abstract Aiming at the problems of weak key sensitivity and small key space of
image encryption algorithm,in this paper,we propose an image encryption algorithm
based on four-dimensional memristive hyperchaotic system and DNA operation. The
algorithm first calculates the initial value of the image information by Secure Hash
Algorithm 512(SHA-512) hash algorithm, substitutes it into the four-dimensional
memory-damped hyperchaotic system to generate a sequence, and then obtains the key
map by Logistic mapping and Sine mapping.The preprocessed image
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Popoola, Lekan Taofeek, Asma Al-Saidi, Yuli Panca Asmara, Usman Taura, Babatunde Adegoke Obende, and Moses Oshiomah Osibuamhe. "Artificial neural network model for process monitoring of crude oil distillation column in a petroleum refinery." Concurrent Engineering, April 20, 2025. https://doi.org/10.1177/1063293x251329460.

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Crude oil fractions are essential products which are major sources of income that influence the economic growth. However, the complex nature of crude oil is calling for manufacturing innovation that will ease its process monitoring. Thus, there is need to design the crude distillation unit (CDU) operation to meet customers’ demand for the crude oil fractions. In this study, artificial neural network was applied for the process design and monitoring of a CDU in a petroleum refinery. A total of 230 data sets was used as experimental data (comprising controllable and uncontrollable variables) fro
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