output
20162026
most citedForecasting Drought Using Multilayer Perceptron Artificial Neural Network Model

135 citations

17 papers

hep-ex2026

Observation of and search for

BESIII Collaboration, M. Ablikim, M. N. Achasov +719

By analysing 6.1 of data collected at center-of-mass energies between and 4.843 with the BESIII detector at the BEPCII collider, we obser…

hep-ex2026

Observation of and

BESIII Collaboration, M. Ablikim, M. N. Achasov +750

Using events collected with the BESIII detector at a center-of-mass energy of GeV, the antihyperon-nucleon annihilation processe…

hep-ex2026

Cross section measurement of from 4.008 GeV to 4.951 GeV

BESIII Collaboration, M. Ablikim, M. N. Achasov +682

Using data samples with a total integrated luminosity of at center-of-mass energies between 4.008 and 4.951~GeV collected with the BESIII detector, the cross sec…

hep-ex2026

Search for the isospin-violating decays and

BESIII Collaboration, M. Ablikim, M. N. Achasov +701

Using a sample of ~ events collected with the BESIII detector, we perform a search for the isospin-violating decays $χ_{cJ}\toΛ\barΣ^{0}+c.c.~…

hep-ex2026

Observation of Polarization and Determination of Its Electric and Magnetic Moments in

BESIII Collaboration, M. Ablikim, M. N. Achasov +703

Using the data sample of events collected with the BESIII detector at the BEPCII collider, we present an observation of the polarization in th…

hep-ex2025

Measurements of the Absolute Branching Fraction of the Semileptonic Decay and the Axial Charge of the

BESIII Collaboration, M. Ablikim, M. N. Achasov +685

Using events collected with the BESIII detector, we study the semileptonic decay for the first time at an electron-…

quant-ph2025

Suboptimality of Parity for Distilling Correlations with Nontrivial Marginals

Syed Affan Aslam, Areej Ilyas, Jibran Rashid

We prove that the PARITY protocol is optimal for a general class of non-adaptive distillation protocols of all player nonlocal boxes (NLBs) based on XOR games. The conditional…

econ.EM2025★ 2 cited

Forecasting Inflation Based on Hybrid Integration of the Riemann Zeta Function and the FPAS Model (FPAS + ): Cyclical Flexibility, Socio-Economic Challenges and Shocks, and Comparative Analysis of Models

Davit Gondauri

Inflation forecasting is a core socio-economic challenge in modern macroeconomic modeling, especially when cyclical, structural, and shock factors act simultaneously. Traditional s…

hep-ex2025

First measurements of the branching fractions of , , and

BESIII Collaboration, M. Ablikim, M. N. Achasov +686

By analyzing events collected with the BESIII detector at the BEPCII, the decays , , and $…

econ.GN2025★ 3 cited

Increasing Systemic Resilience to Socioeconomic Challenges: Modeling the Dynamics of Liquidity Flows and Systemic Risks Using Navier-Stokes Equations

Davit Gondauri

Modern economic systems face unprecedented socioeconomic challenges, making systemic resilience and effective liquidity flow management essential. Traditional models such as CAPM,…

econ.EM2024★ 4 cited

Impact of R&D and AI Investments on Economic Growth and Credit Rating

Davit Gondauri, Ekaterine Mikautadze

The research and development (R&D) phase is essential for fostering innovation and aligns with long-term strategies in both public and private sectors. This study addresses two pri…

cs.CR2022★ 7 cited

Construction and Optimization of TRNG Based Substitution Boxes for Block Encryption Algorithms

Muhammad Fahad Khan, Khalid Saleem, Mohammed Alotaibi +4

Internet of Things is an ecosystem of interconnected devices that are accessible through the internet. The recent research focuses on adding more smartness and intelligence to thes…

cs.HC2022★ 7 cited

Gender-Wise Perception of Students Towards Blended Learning in Higher Education: Pakistan

Saira Soomro, Arjumand Bano Soomro, Tarique Bhatti +1

Blended learning (BL) is a recent tread among many options that can best fit learners' needs, regardless of time and place. This study aimed to discover students' perceptions of BL…

cs.LG2021★ 6 cited

Duckworth-Lewis-Stern Method Comparison with Machine Learning Approach

Kumail Abbas, Sajjad Haider

This work presents an analysis of the Duckworth-Lewis-Stern (DLS) method for One Day International (ODI) cricket matches. The accuracy of the DLS method is compared against various…

physics.ao-ph2019★ 135 cited

Forecasting Drought Using Multilayer Perceptron Artificial Neural Network Model

Zulifqar Ali, Ijaz Hussain, Muhammad Faisal +5

These days human beings are facing many environmental challenges due to frequently occurring drought hazards. It may have an effect on the countrys environment, the community, and…

math-ph2019★ 22 cited

Quantum Markov States on Cayley trees

Farrukh Mukhamedov, Abdessatar Souissi

It is known that any locally faithful quantum Markov state (QMS) on one dimensional setting can be considered as a Gibbs state associated with Hamiltonian with commuting nearest-ne…

math.PR2016★ 1 cited

Inverse of the flow and moments of the free Jacobi process associated with a single projection

Nizar Demni, Tarek Hamdi

This paper is a companion to a series of papers devoted to the study of the spectral distribution of the free Jacobi process associated with a single projection. Actually, we notic…