A new statistical model for advanced modeling of cancer disease data

“…The cumulative and probability density functions are also developed, providing a foundational structure for the model. …”
Get full text

Statistical analysis of disability: Utilizing the modified kies power unit inverse Lindley model by Mohamed A. Abd Elgawad, Safar M. Alghamdi, Rana H. Khashab, Etaf Alshawarbeh, Ehab M. Almetwally, Mohammed Elgarhy

“…The MKPUILD is very flexible model because it’s probability density function and hazard rate function have different shapes as unimodal, right-skewed, left-skewed, bathtub, increasing, N-shaped. …”
Get full text

Context-Aware Trust and Reputation Routing Protocol for Opportunistic IoT Networks by Jagdeep Singh, Sanjay Kumar Dhurandher, Isaac Woungang, Han-Chieh Chao

“…This paper proposes a novel Context-Aware Trust and Reputation Routing (CATR) protocol for opportunistic IoT networks, which leverages the probability density function of the beta distribution and some contextual factors, to dynamically compute the trust and reputation values of nodes, leading to efficient data dissemination, where malicious nodes are effectively identified and bypassed during that process. …”
Get full text

Serum markers of bone fragility in type-2 diabetes mellitus by Rucsandra Dănciulescu Miulescu, Loreta Guja, Lavinia Claudia Ochiana, Anca Ungurianu, Oana Cristina Șeremet, Emil Ștefănescu

“…Patients with type-2 diabetes mellitus (T2DM) have normal or increased bone mineral density (BMD) but despite that, they are characterized by an increased hip and vertebral fracture risk that involves the alteration of bone quality and not the reduction in bone mass. …”
Get full text

Time-Delayed Feedback Tristable Stochastic Resonance Weak Fault Diagnosis Method and Its Application by Zhixing Li, Songjiu Han, Jianguo Wang, Xueping Ren, Chao Zhang

“…The effects of time-delayed feedback strength on potential energy, steady-state probability density function, and signal-to-noise ratio (SNR) are discussed. …”
Get full text

New multifactor spatial prediction method based on Bayesian maximum entropy by YANG Yong, ZHANG Chutian, HE Liyuan

“…The main objective is to incorporate the results of classical geostatistics and quantitative soil-landscape model in the BME framework.The result of ordinary Kriging was taken as the priori probability density function (pdf), as well as the sampling data as hard data, and the results of environmental correlation as soft data. …”
Get full text

Video temporal perception characteristics based just noticeable difference model by Yafen1 XING, Haibing YIN, Hongkui WANG, Qionghua LUO

“…., which were used to characterize the temporal characteristics.Probability density functions for these feature parameters in the perception sense according to the HVS(human visual system) characteristics were proposed, and uniformly mapping the heterogeneous feature parameters to the scales of self-information and information entropy to achieve a homogeneous fusion measurement.The coupling method of visual attention and masking was explored from the perspective of energy distribution, and the temporal-domain JND weight model was constructed accordingly.On the basis of the spatial JND threshold, the temporal domain weights was integrated to develop a more accurate spatial-temporal JND model.In order to evaluate the performance of the spatiotemporal JND model, a subjective quality evaluation experiment was conducted.Experimental results justify the effectiveness of the proposed model.…”
Get full text

Video temporal perception characteristics based just noticeable difference model by Yafen1 XING, Haibing YIN, Hongkui WANG, Qionghua LUO

“…., which were used to characterize the temporal characteristics.Probability density functions for these feature parameters in the perception sense according to the HVS(human visual system) characteristics were proposed, and uniformly mapping the heterogeneous feature parameters to the scales of self-information and information entropy to achieve a homogeneous fusion measurement.The coupling method of visual attention and masking was explored from the perspective of energy distribution, and the temporal-domain JND weight model was constructed accordingly.On the basis of the spatial JND threshold, the temporal domain weights was integrated to develop a more accurate spatial-temporal JND model.In order to evaluate the performance of the spatiotemporal JND model, a subjective quality evaluation experiment was conducted.Experimental results justify the effectiveness of the proposed model.…”
Get full text

Radio frequency energy harvesting-combined collaborative energy-saving computation offloading mechanism by Bei TANG, Qian WANG, Siguang CHEN

“…In order to fit the differentiated energy demands in vertical markets and ensure that internet of things (IoT) devices can hold an efficient and sustainable operation mode, a radio frequency energy harvesting-combined collaborative energy-saving computation offloading mechanism was studied.Specifically, a system energy consumption minimization problem was formulated under the joint optimization consideration of computation offloading decision, uplink bandwidth resource allocation, downlink bandwidth resource allocation and base station power splitting.Meanwhile, by combining the concept of penalty function, a new evaluation index was introduced, and then an adaptive particle swarm optimization-based collaborative energy saving computation offloading (APSO-CESCO) algorithm was proposed to solve the problem.The proposed algorithm constructed dynamic inertia weight and linearly adjusted penalty factor, which could alternate the spatial distribution density of the particle community in real-time during the iterative search process, and the optimal computation offloading policy with tolerable punishment could be well-generated.Furthermore, to prevent particles from exceeding exploration range, the velocity boundary was introduced which could also reduce the generation probability of invalid solutions and improve the actual exploration effectiveness.Finally, the simulation results show that the proposed algorithm can achieve higher convergence efficiency and solution accuracy, and compared with other common benchmark schemes, the system energy consumption can be reduced by 34.09%, 14.72%, and 6.86%, respectively.…”
Get full text

Territoriality Modulates the Effect of Conspecific Encounters on the Foraging Behaviours of a Mammalian Predator by Jeanne Clermont, Frédéric Dulude‐de Broin, Marie‐Pier Poulin, Dominique Berteaux

“…Second, using GPS and accelerometry data, we evaluated if the probability of encountering a neighbour influenced foraging behaviours, and whether this relationship differed between territorial and non‐territorial individuals. …”
Get full text

Risk factors for different cement distribution indexes for refracture of operated vertebrae and adjacent vertebrae after percutaneous vertebroplasty in patients with thoracolumbar... by Sulaiman Reheman, Wuluhan Mahan, Aerpati Maimaiti, Liu Yuntao, Aiben Kayierhan, Ma Liang, Alimujinag Aximu, Tuerhongjiang Abudurexiti, Meng Xiangyu

“…The surgeon conducts a comprehensive evaluation of patients before surgery, which can more accurately estimate the probability of fracture again, and then provide a reference for the formulation of personalized treatment plan, so as to reduce the risk of fracture again in the future.…”
Get full text

Association between duration of return of spontaneous circulation and outcomes after out-of-hospital cardiac arrest by Huixin Lian, Andong Xia, Xinyan Qin, Sijia Tian, Xuqin Kang, Luxi Zhang, Shengmei Niu, Fei Qin, Jinjun Zhang

“…This was a retrospective study of 126 patients with OHCA who achieved ROSC between January and December 2020. The probability of survival after OHCA related to CPR and ROSC duration was analyzed using the probability density function and empirical cumulative density functions. …”
Get full text

A neighbor knowledge and velocity-based broadcast scheme for wireless ad hoc networks by Dingzhu Lu, Shoubin Dong

“…The collected information is used to calculate the neighbor density, the ratio, and the number of one-hop uncovered neighbors, upon which the rebroadcast probability and delay are adjusted adaptively. …”
Get full text

Mathematical Model of Data Processing in a Personalized Search Recommendation System for Digital Collections by Serhii Semenov, Wojciech Baran, Magdalena Andrzejewska, Maxim Pochebut, Inna Petrovska, Oksana Sitnikova, Marharyta Melnyk, Anastasiya Mekhovykh

“…The results demonstrate that the proposed approach allows for detailed temporal performance evaluation, including the estimation of time exceedance probabilities at each stage. …”
Get full text

A new Maxwell-Log logistic distribution and its applications for mortality rate data by Uthumporn Panitanarak, Aliyu Ismail Ishaq, Alfred Adewole Abiodun, Hanita Daud, Ahmad Abubakar Suleiman

“… In this research, we extended the Log-Logistic distribution by incorporating it into the Maxwell generalized class, resulting in the Maxwell-Log Logistic (Max-LL ) distribution. The probability density function and cumulative distribution function of the proposed distribution have been defined. …”
Get full text

Quantum Approach to Damped Three Coupled Nano-Optomechanical Oscillators by Jeong Ryeol Choi, Salah Menouar

“…We confirm that the probability density converges to the origin of the coordinate in a symmetric manner as the optomechanical energy dissipates. …”
Get full text

Arabic web pages clustering and annotation using semantic class features by Hanan M. Alghamdi, Ali Selamat, Nor Shahriza Abdul Karim

“…The document vectorization helps to transform text documents into a semantic class probability distribution or semantic class density. …”
Get full text

Cell-mechanical parameter estimation from 1D cell trajectories using simulation-based inference. by Johannes C J Heyn, Miguel Atienza Juanatey, Martin Falcke, Joachim O Rädler

“…The trained neural network in turn is used to infer the probability distribution of a limited number of model parameters that correspond to the experimental trajectories. …”
Get full text

Quantifying the mixed uncertainty for calculating slope from a gridded digital elevation model by Jinlu Zhang, Yi Cheng, Wen Ge, Shuxue Li, Qiang He, Tong Zhang

“…This study examines slope calculation using evidence theory, addressing representation with focal elements, propagation through belief and likelihood functions, evaluation metrics based on bias and variability, and sensitivity analysis through changes in the probability envelope area. …”
Get full text

A fast infrared image enhancement algorithm based on contrast optimization model by XIONG Zhandong, DAI Shengkui

“…Then, in order to control the dynamic range of the resulting image, a third plateau value is set for the grayscale level that is in the bright area and has a probability density of zero. Finally, the present optimization model is applied to globally constrain the three plateau values, and the optimal plateau values are obtained through traversal optimization. …”
Get full text