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Birla Institute of Technology & Science Documents (2,706)

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  • 4 pages SS ZG653 EC-2R SECOND SEM 2014-15 (My Solution).docx

    SS ZG653 EC-2R SECOND SEM 2014-15 (My Solution).docx

  • 3 pages SS ZG653 EC-2R FIRST SEM 2015-16 (My Solution).docx

    SS ZG653 EC-2R FIRST SEM 2015-16 (My Solution).docx

  • 42 pages F211_Week10.pptx

    F211_Week10.pptx

  • 22 pages 8-Female reproductive system.pptx
    • 8-Female reproductive system.pptx
    • Birla Institute of Technology & Science
    • Reproductive Physiology
    • BIO 101 - Spring 2017
    • Female Reproductive System Growth & Development of Ovarian Follicle 1. 2. 3. 4. 5. Resting Primordial Follicle Growing Pre-antral follicle Growing Antral Follicle Dominant Graafian Follicle Dominant Follicle within Peri-ovulatory Period. 6. Corpus Luteum
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    8-Female reproductive system.pptx

  • 8 pages 1-Female reproductive system.pptx

    1-Female reproductive system.pptx

  • 125 pages Section 14.1-14.5.ppt
    • Section 14.1-14.5.ppt
    • Birla Institute of Technology & Science
    • Mathematics 1
    • MATHS F111 - Spring 2017
    • Chapter-14 Multivariable Functions & Partial Derivatives Real-valued function of one real variable Function 1 x 2 x Domain 2 [-1,1] (-,2] Range [0,1] [0, ) Functions of two variables Definition : A function of two variables is a rule that attaches to each
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    Section 14.1-14.5.ppt

  • 114 pages Sec.5.1-5.4.ppt
    • Sec.5.1-5.4.ppt
    • Birla Institute of Technology & Science
    • MATH F112
    • MATH F112 - Spring 2017
    • Linear Transformations (Chapter 5) Definition : Let U and V be real vector spaces. A map L: U V from U to V is called a linear map, or Linear transformation assigning a unique vector L(u) in V to each u in U such that (i) L u v L u L v for all u , v U Exa
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    Sec.5.1-5.4.ppt

  • 62 pages cauchy integral formula.ppt
    • cauchy integral formula.ppt
    • Birla Institute of Technology & Science
    • MATH F112
    • MATH F112 - Spring 2017
    • F ( z ) f ( z ) for all z in D, then F(z) is called an antiderivative of f(z) in D. Corollary: Let f(z) is continuous in a domain D, and F(z) is an antiderivative of f(z) in D. F ( z ) f ( z ) for all z in D. Let z1 and z 2 be any two points in D, and C
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    cauchy integral formula.ppt

  • 41 pages sec 16.1-16.3.ppt
    • sec 16.1-16.3.ppt
    • Birla Institute of Technology & Science
    • Mathematics 1
    • MATHS F111 - Spring 2017
    • Not true for integrals of scalar functions. C C1 C2 F .dr F .dr F .dr C C1 C2 Flow of a vector field along a curve C F.d r F Tds. C C If C is closed (i.e. terminal point of C is same as initial point of C) then flow along C is also called circulatio
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    sec 16.1-16.3.ppt

  • 46 pages Sec3.4.ppt.ppt
    • Sec3.4.ppt.ppt
    • Birla Institute of Technology & Science
    • MATH F112
    • MATH F112 - Spring 2017
    • Section 3.4 Eigenvalues & Diagonalization X is eigen vector of A associated with OR. The value of for which the homogenous system ( I n A) X 0 has non-trivial sol. and For non-trivial solution X of homogenous system ( I A) X 0 | I n A | 0 is characteristi
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    Sec3.4.ppt.ppt

  • 43 pages 2 DNA Replication.ppt
    • 2 DNA Replication.ppt
    • Birla Institute of Technology & Science
    • Genreral Biology
    • BIO C111 - Fall 2008
    • DNA: The Genetic Material How Does DNA Replicate? Genome Hereditary information of an organism is encoded in its DNA and enclosed in a cell (unless it is a virus). All the information contained in the DNA of a single organism is its genome. DNA has four p
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    2 DNA Replication.ppt

  • 17 pages 10. Bimetallic NPs.pdf
    • 10. Bimetallic NPs.pdf
    • Birla Institute of Technology & Science
    • Nanochemistry
    • CHEM F242 - Spring 2017
    • BITS Pilani Pilani Campus Bimetallic nanoparticles: properties and application 08/02/2016 Discussed topic Bimetallic nanoparticles: synthesis and application Todays discussion Bimetallic nanoparticles: properties and application and summary of L. No. 2-7
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    10. Bimetallic NPs.pdf

  • 15 pages 4. Synthesis of NP.pdf
    • 4. Synthesis of NP.pdf
    • Birla Institute of Technology & Science
    • Nanochemistry
    • CHEM F242 - Spring 2017
    • BITS Pilani Pilani Campus Synthesis, characterization, and properties of NPs 25/01/2016 Discussed topic Synthesis of nanomaterial Physical and chemical routes Sol-gel processing, DENs synthesis Todays discussion How to control size, shape, and distribu
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    4. Synthesis of NP.pdf

  • 19 pages 5. Monolayer protected NPs, Dangling bond.pdf
    • 5. Monolayer protected NPs, Dangling bond.pdf
    • Birla Institute of Technology & Science
    • Nanochemistry
    • CHEM F242 - Spring 2017
    • BITS Pilani Pilani Campus Monolayer protected, dispersity and size-control of metal NPs 27/01/2016 Discussed topic Variety in nanomaterial Some popular methods for nanomaterial synthesis Nanomaterial synthesis using strong reducing agent Magnetic nano
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    5. Monolayer protected NPs, Dangling bond.pdf

  • 18 pages 6. Superlattice, SPR.pdf
    • 6. Superlattice, SPR.pdf
    • Birla Institute of Technology & Science
    • Nanochemistry
    • CHEM F242 - Spring 2017
    • BITS Pilani Pilani Campus Stabilization of nanoparticles, supperlattice, SPR property 01/02/2016 Discussed topic Monolayer protected metal NPs Properties of NPs and formation of dangling bond Size control Todays discussion Stabilization of NPs, Superla
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    6. Superlattice, SPR.pdf

  • 19 pages 7. SPR, Anisotrpic NP.pdf
    • 7. SPR, Anisotrpic NP.pdf
    • Birla Institute of Technology & Science
    • Nanochemistry
    • CHEM F242 - Spring 2017
    • BITS Pilani Pilani Campus Surface Plasmon Resonance, Mie theory and anisotropic NPs 02/02/2016 Discussed topic Stabilization of nanoparticles Superlattice, formation of superlattice Surface plasmon resonance property Todays discussion Anisotropic metal
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    7. SPR, Anisotrpic NP.pdf

  • 17 pages 2. Intro.pdf
    • 2. Intro.pdf
    • Birla Institute of Technology & Science
    • Nanochemistry
    • CHEM F242 - Spring 2017
    • BITS Pilani Pilani Campus Course No. : CHEM F336 Course Title: Nanochemistry 20/01/2016 What is Nanoscience Nanoscience is a compound word: Nano and Science Nano is a prefix as in nanometer, nanoampere, nanosecond etc., referring to 10-9, in nanosecond,
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    2. Intro.pdf

  • 18 pages 1. Intro.pdf
    • 1. Intro.pdf
    • Birla Institute of Technology & Science
    • Nanochemistry
    • CHEM F242 - Spring 2017
    • BITS Pilani Pilani Campus Course No. : CHEM F336 Course Title: Nanochemistry Instructors: Dr. Surojit Pande 18/01/2016 Course description Introduction, importance of nanoscience, chemistry behind nano Instruments to be used for characterizing nanomateri
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    1. Intro.pdf

  • 18 pages 3. Synthesis of NP.pdf
    • 3. Synthesis of NP.pdf
    • Birla Institute of Technology & Science
    • Nanochemistry
    • CHEM F242 - Spring 2017
    • BITS Pilani Pilani Campus Synthesis of NP: Physical & Chemical method 22/01/2016 Discussed topic Idea of nanoscience and nanotechnology Importance of nanoscience Synthetic approach and stabilization of nanoparticle Unique properties of nanoparticle I
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    3. Synthesis of NP.pdf

  • 17 pages 9. Bimetallic NPs.pdf
    • 9. Bimetallic NPs.pdf
    • Birla Institute of Technology & Science
    • Nanochemistry
    • CHEM F242 - Spring 2017
    • BITS Pilani Pilani Campus Bimetallic nanoparticles 05/02/2016 Discussed topic Bimetallic nanoparticles, importance, why, and synthesis Todays discussion Bimetallic nanoparticles, properties and application BITSPilani, Pilani Campus Why [email protected] NPs The
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    9. Bimetallic NPs.pdf

  • 12 pages 8. Bimetallic NPs.pdf
    • 8. Bimetallic NPs.pdf
    • Birla Institute of Technology & Science
    • Nanochemistry
    • CHEM F242 - Spring 2017
    • BITS Pilani Pilani Campus Bimetallic nanoparticles 03/02/2016 Discussed topic Surface Plasmon resonance property Mie theory Anisotropic nanomaterials, synthesis and properties Todays discussion Bimetallic nanoparticles BITSPilani, Pilani Campus Synthes
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    8. Bimetallic NPs.pdf

  • 2 pages AI Handout EA_C461_Hota .pdf
    • AI Handout EA_C461_Hota .pdf
    • Birla Institute of Technology & Science
    • Artificial Intelligence
    • CS EAC461 - Fall 2012
    • Birla Institute of Technology & Science, Pilani Hyderabad Campus Computer Science and Information Systems Department First Semester 2011-2012 Course Handout (Part II) Date: 7th Jan 2012 In addition to part-I (General handout for all courses appended to th
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    AI Handout EA_C461_Hota .pdf

  • 4 pages M3-SMB_CIFS_Protocol_3.3.1.pptx
    • M3-SMB_CIFS_Protocol_3.3.1.pptx
    • Birla Institute of Technology & Science
    • DSTN
    • DATA STORA 446 - Summer 2017
    • Data Storage Technologies & Networks BITS Pilani Pilani Campus Dr. Virendra Singh Shekhawat Department of Computer Science and Information Systems Topics SMB/CIFS protocol 2 BITS Pilani, Pilani Campus CIFS is the de facto file-serving protocol in the Mi
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    M3-SMB_CIFS_Protocol_3.3.1.pptx

  • 2 pages M7.1-TNM SNMP Lab.ppt
    • M7.1-TNM SNMP Lab.ppt
    • Birla Institute of Technology & Science
    • Telecom Network Management
    • CSE 586 - Summer 2017
    • Telecommunication Network Management Module 7: SNMP Lab BITS Pilani Pilani | Dubai | Goa | Hyderabad Anita Ramachandran 2015 Agenda Lab demo of SNMP commands SNMP command configuration examples BITS Pilani, Deemed to be University under Section 3 of UGC
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    M7.1-TNM SNMP Lab.ppt

  • 79 pages Class-29-Clustering.pptx
    • Class-29-Clustering.pptx
    • Birla Institute of Technology & Science
    • Advanced Data Mining
    • CS G520 - Fall 2015
    • Clustering K-medoids PAM Partitioning Around Medoids (PAM) (KMedoids) Handles outliers well. Ordering of input does not impact results. Does not scale well. Each cluster represented by one item, called the medoid. Initial set of k medoids randomly c
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    Class-29-Clustering.pptx

  • 47 pages Class-32-Clustering.pptx
    • Class-32-Clustering.pptx
    • Birla Institute of Technology & Science
    • Advanced Data Mining
    • CS G520 - Fall 2015
    • Clustering Validation & Assessment Material taken from text book (chapter 8) and from DMA book by Zaki & Meira (chapter 17) Unsupervised measures of Cluster Validation Measuring Cluster Validity via Correlation Measuring Cluster Validity Via Correlation
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    Class-32-Clustering.pptx

  • 58 pages Class-30-Clustering.pptx
    • Class-30-Clustering.pptx
    • Birla Institute of Technology & Science
    • Advanced Data Mining
    • CS G520 - Fall 2015
    • Clustering Hierarchical Clustering Produces a set of nested clusters organized as a hierarchical tree Can be visualized as a dendrogram A tree like diagram that records the sequences of merges or splits 5 6 0.2 4 3 4 2 0.15 5 2 0.1 1 0.05 0 3 1 3 2 5 4
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    Class-30-Clustering.pptx

  • 43 pages Class-20-Association Rule Mining.pptx
    • Class-20-Association Rule Mining.pptx
    • Birla Institute of Technology & Science
    • Advanced Data Mining
    • CS G520 - Fall 2015
    • Association Rule Mining Apriori Algorithm Method: Let k=1 Generate frequent itemsets of length 1 Repeat until no new frequent itemsets are identified Generate length (k+1) candidate itemsets from length k frequent itemsets Prune candidate itemsets co
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    Class-20-Association Rule Mining.pptx

  • 43 pages Class-22-Association Rule Mining.pptx
    • Class-22-Association Rule Mining.pptx
    • Birla Institute of Technology & Science
    • Advanced Data Mining
    • CS G520 - Fall 2015
    • Association Rule Mining Variations of the Apriori Many variations of the Apriori has been proposed that focus on improving the efficiency of the original algorithm Hash-based technique- hashing itemset counts Transaction reduction-reducing the number of
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    Class-22-Association Rule Mining.pptx

  • 49 pages Class-34-Clustering.pptx
    • Class-34-Clustering.pptx
    • Birla Institute of Technology & Science
    • Advanced Data Mining
    • CS G520 - Fall 2015
    • ANOMALY DETECTION Most of the material in this presentation taken from Text Book slides (Tan et. al.) Statistical Approaches Probabilistic definition of an outlier: An outlier is an object that has a low probability with respect to a probability distribut
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    Class-34-Clustering.pptx

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