Utilizing Artificial Intelligence for Enhancing Performance and Preventing Injuries in Sports Analytics Tushar Dhar Shukla, Divya Nimma, Kiran Sree Pokkuluri, Syed Najmusaqib, K.K. Sivakumar, and B Kiran Bala IEEE The sports sector could see a revolution in player performance enhancement and injury prevention, especially with recent developments in artificial intelligence (AI). In order to identify areas for improvement and potential injury risks, this proposed work aims to utilize the potential of AI techniques, such as XGBoost, to evaluate extensive player data, including movement patterns, biomechanics, and physical condition. This strategy is unusual because it combines real-time feedback systems with AI-powered predictive modeling to offer athletes and coaches individualized training advice and early warnings about potential injury risks. Cleaning and normalization were done during the preparation phase to make sure the data was suitable for analysis. Utilizing XGBoost for feature extraction allowed for the identification of critical factors affecting efficiency and injury risk. In sports analytics, the suggested XGBoost-AI system was compared to other AI-based techniques for improving performance and avoiding injuries. The study’s findings show that the XGBoost classifier significantly improves performance accuracy, which may reach 96%. This is in contrast to conventional approaches that depend on subjective evaluations and human data analysis, which can result in errors and inefficiencies. Python is used to implement the suggested work. AI-driven sports analytics platform can improve game strategy, fan engagement, and data-driven decision-making for sports organizations, enhancing competitiveness and sustainability in the sports industry.
Medical Internet-of-Things Based Breast Cancer Diagnosis Using Hyper Parameter-Optimized Neural Networks
Advanced Neural Network Approach for Fetal Heart Rate Classification with Multi-Attribute Analysis D. Rajeswari, Prashant Chourasiya, Sivakumar Kk, Neelesh Kumar Sahu, G. Gifta Jerith, and Pranav Singh IEEE Electronic fetal monitoring is an essential diagnostic aid in pregnant women for the evaluation of fetal status and possible pathology. In this research, a sophisticated neural network model is suggested as a means for the arrangement of fetal heart rate indicators with multi attribute analysis to assist in maximizing the classification. We thus use an ANFIS that incorporates the capability of learning from the neural network on the one hand and the reasoning of fuzzy logic on the other. The system employs ECG data and the signals are processed by Independent Component Analysis method to extract the fetal signals. Further, PSD transforming of a signal and RR-interval measurements are incorporated to obtain significant signal characteristics making the discrimination more sensitive and specific. The investigational outcomes also show that the proposed model achieves a much higher overall accuracy than the traditional methods, providing an effective means for the fetal heart monitoring in practice.
ZnO/UV induced photocatalytic degradation of textile dye
Structural studies of hemoglobin from two flightless birds, ostrich and turkey: Insights into their differing oxygen-binding properties Pandian Ramesh, Selvarajan Sigamani Sundaresan, Nagaraj Shobana, Thangaraj Vinuchakkaravarthy, Kandasamy Sivakumar, Sayed Yasien, and Mondikalipudur Nanjappa Gounder Ponnuswamy International Union of Crystallography (IUCr) Crystal structures of hemoglobin (Hb) from two flightless birds, ostrich (Struthio camelus) and turkey (Meleagris gallopova), were determined. The ostrich Hb structure was solved to a resolution of 2.22 Å, whereas two forms of turkey Hb were solved to resolutions of 1.66 Å (turkey monoclinic structure; TMS) and 1.39 Å (turkey orthorhombic structure; TOS). Comparison of the amino-acid sequences of ostrich and turkey Hb with those from other avian species revealed no difference in the number of charged residues, but variations were observed in the numbers of hydrophobic and polar residues. Amino-acid-composition-based computation of various physical parameters, in particular their lower inverse transition temperatures and higher average hydrophobicities, indicated that the structures of ostrich and turkey Hb are likely to be highly ordered when compared with other avian Hbs. From the crystal structure analysis, the liganded state of ostrich Hb was confirmed by the presence of an oxygen molecule between the Fe atom and the proximal histidine residue in all four heme regions. In turkey Hb (both TMS and TOS), a water molecule was bound instead of an oxygen molecule in all four heme regions, thus confirming that they assumed the aqua-met form. Analysis of tertiary- and quaternary-structural features led to the conclusion that ostrich oxy Hb and turkey aqua-met Hb adopt the R-/RH-state conformation.
Synthesis and photovoltaic property characterization of CeO<inf>2</inf> film deposited on ITO substrate for dye sensitized solar cell Abirami Rajendran and Sivakumar Kandasamy Informa UK Limited Abstract The photoanodes of the dye sensitized solar cell (DSSC) were designed using nanocrystalline cerium oxide (CeO2) film. In this study the CeO2 photoanodes were obtained on ITO substrate using two different growth times such as 12 and 24 h by hydrothermal process. The prepared photoanodes and their characteristic performances towards solar energy conversion to electric power have been investigated. The grown photoanodes exhibited the cubic fluorite crystal structure with (1 1 1), (2 0 0), (2 2 0), (3 1 1) and (4 0 0) planes and the corresponding selected area electron diffraction ring pattern of the HR-TEM confirms the growth of high purity nanocrystalline CeO2 films. The room temperature LASER Raman spectrum indicates the formation of cubic phase at 456 cm−1, the Raman active F2g band. From HR-SEM analysis agglomerated sphere particles in Ce-24 h and individual spherical particles in Ce-12 h infers the degree of super saturation which plays an important role in crystal nucleation and growth time. The DSSC assembled with dye sensitized CeO2 photoanodes have shown 1.201 and 0.931% of conversion efficiency at 1Sun (100 mW/cm2) AM1.5G solar illumination for Ce-12 h and Ce-24 h samples respectively. In our study the Ce-12 h photoanode exhibit efficiency greater than Ce-24 h due to increased dye absorption over the CeO2 nanoparticle surface.
Thermoelectric properties of layered type FeIn<inf>2</inf>Se<inf>4</inf> chalcogenide compound N. Karthikeyan, G. Aravindsamy, P. Balamurugan, and K. Sivakumar Informa UK Limited Abstract FeGa2S4 type FeIn2Se4 compound was prepared by high temperature vacuum melting solid state reaction technique. The crystal structure of the prepared compound was studied using power X-ray diffraction analysis and Pawley profile fitting analysis was carried by TOPAS V4.1 computer program. The electrical resistivity of the FeIn2Se4 compound was measured using high precision source measurement unit in the temperature range of 323 to 683 K at inert atmosphere. Seebeck coefficient measurement was examined in the home made thermopower measurement system. The power factor (S2/ρ) was calculated and it is found that the compound exhibit highest power factor value of 3.5 μW/cmK2 at 643 K.
Study of crystal structure and unique photoluminescence properties of Eu<inf>2-x</inf>Fe<inf>x</inf>O<inf>3</inf> (x = 0 - 0.5) orthoferrites M. Dhilip, V. Anbarasu, K. Saravana Kumar, and K. Sivakumar Author(s) A series of Europium orthoferrites, Eu2-xFexO3 (x = 0 – 0.5) are successfully prepared by employing solid state reaction technique. The structural analysis through powder X-Ray diffraction technique reveals the multiphase formation of all the prepared compounds. Further, the unit cell visualization of all the prepared compounds confirms the change of crystal structure from cubic to orthorhombic phase. The crystal structure analysis confirms the typical framework of Eu – Fe – O chains with unprecedented ratio of Eu3+ and Fe3+ ions. The optical properties of prepared compounds are investigated using photoluminescence (PL) analysis. Upon excitation at 495 nm wavelength, the emission spectrum of prepared compounds exhibits a broad band in the range of 500-700nm with maximum intensity peak at 548 nm (Blue – 2.26eV). Hence, the substitution of Fe3+ ion yields with intrinsic blue photoluminescence (5D0 → 7F0) of Eu3+ and is easily shielded by the substitution of Fe3+ which may be due to the closer conduction band gap of Eu3+ (2.26 eV) with Fe3+ (2.67 eV). The schematic energy level diagram for Fe3+ in the Eu3+ host matrix has been proposed for the better understanding of photoluminescence processes. The variation of intensity of PL peak between 500 and 700 nm for the substitution of Fe in the range of x = 0 – 0.5 yields with interesting optical properties for exploring new phosphor materials for optoelectronic device fabrications.A series of Europium orthoferrites, Eu2-xFexO3 (x = 0 – 0.5) are successfully prepared by employing solid state reaction technique. The structural analysis through powder X-Ray diffraction technique reveals the multiphase formation of all the prepared compounds. Further, the unit cell visualization of all the prepared compounds confirms the change of crystal structure from cubic to orthorhombic phase. The crystal structure analysis confirms the typical framework of Eu – Fe – O chains with unprecedented ratio of Eu3+ and Fe3+ ions. The optical properties of prepared compounds are investigated using photoluminescence (PL) analysis. Upon excitation at 495 nm wavelength, the emission spectrum of prepared compounds exhibits a broad band in the range of 500-700nm with maximum intensity peak at 548 nm (Blue – 2.26eV). Hence, the substitution of Fe3+ ion yields with intrinsic blue photoluminescence (5D0 → 7F0) of Eu3+ and is easily shielded by the substitution of Fe3+ which may be due to the closer conduction ban...